Patent application number | Description | Published |
20080240555 | Two Stage Detection for Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 10-02-2008 |
20100014721 | Classification System for Consumer Digital Images using Automatic Workflow and Face Detection and Recognition - A processor-based system operating according to digitally-embedded programming instructions includes a face detection module for identifying face regions within digital images. A normalization module generates a normalized version of the face region. A face recognition module automatically extracts a set of face classifier parameter values from the normalized face region that are referred to as a faceprint. A workflow module automatically compares the extracted faceprint to a database of archived faceprints previously determined to correspond to known identities. The workflow module determines based on the comparing whether the new faceprint corresponds to any of the known identities, and associates the new faceprint and normalized face region with a new or known identity within a database. A database module serves to archive data corresponding to the new faceprint and its associated parent image according to the associating by the workflow module within one or more digital data storage media. | 01-21-2010 |
20100026831 | AUTOMATIC FACE AND SKIN BEAUTIFICATION USING FACE DETECTION - Sub-regions within a face image are identified to be enhanced by applying a localized smoothing kernel to luminance data corresponding to the sub-regions of the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face. | 02-04-2010 |
20100026832 | AUTOMATIC FACE AND SKIN BEAUTIFICATION USING FACE DETECTION - Sub-regions within a face image are identified to be enhanced by applying a localized smoothing kernel to luminance data corresponding to the sub-regions of the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face. | 02-04-2010 |
20100026833 | AUTOMATIC FACE AND SKIN BEAUTIFICATION USING FACE DETECTION - Sub-regions within a face image are identified to be enhanced by applying a localized smoothing kernel to luminance data corresponding to the sub-regions of the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face. | 02-04-2010 |
20100040284 | METHOD AND APPARATUS OF CORRECTING HYBRID FLASH ARTIFACTS IN DIGITAL IMAGES - A method for digital image eye artifact detection and correction include identifying one or more candidate red-eye defect regions in an acquired image. For one or more candidate red-eye regions, a seed pixels and/or a region of pixels having a high intensity value in the vicinity of the candidate red-eye region is identified. The shape, roundness or other eye-related characteristic of a combined hybrid region including the candidate red-eye region and the region of high intensity pixels is analyzed. Based on the analysis of the eye-related characteristic of the combined hybrid region, it is determined whether to apply flash artifact correction, including red eye correction of the candidate red-eye region and/or correction of the region of high intensity pixels. | 02-18-2010 |
20100053362 | PARTIAL FACE DETECTOR RED-EYE FILTER METHOD AND APPARATUS - A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate. | 03-04-2010 |
20100053367 | PARTIAL FACE TRACKER FOR RED-EYE FILTER METHOD AND APPARATUS - An image acquisition device includes a flash and optical system for capturing digital images. A partial face tracker identifies partial face regions within a series of one or more relatively low resolution reference images, and predicts partial face regions within a main digital image. A red-eye filter for modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of the partial face regions identified and predicted by the partial face tracker. | 03-04-2010 |
20100053368 | FACE TRACKER AND PARTIAL FACE TRACKER FOR RED-EYE FILTER METHOD AND APPARATUS - An image acquisition device includes a flash and optical system for capturing digital images. A face tracker identifies face regions within a series of one or more relatively low resolution reference images, and predicts face regions within a main digital image. A face analyzer determines one or more partial face regions within the one or more face regions each including at least one eye. A red-eye filter modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of one or more partial face regions within the one or more face regions identified and predicted by the face tracker. | 03-04-2010 |
20100054592 | ANALYZING PARTIAL FACE REGIONS FOR RED-EYE DETECTION IN ACQUIRED DIGITAL IMAGES - A method for red-eye detection in an acquired digital image includes acquiring a first image, and analyzing one or more partial face regions within the first image. One or more characteristics of the first image are determined. One or more corrective processes are identified including red eye correction that can be beneficially applied to the first image according to the one or more characteristics. The one or more corrective processes are applied to the first image. | 03-04-2010 |
20100066822 | CLASSIFICATION AND ORGANIZATION OF CONSUMER DIGITAL IMAGES USING WORKFLOW, AND FACE DETECTION AND RECOGNITION - A processor-based system operating according to digitally-embedded programming instructions performs a method including identifying a group of pixels corresponding to a face region within digital image data acquired by an image acquisition device. A set of face analysis parameter values is extacted from said face region, including a faceprint associated with the face region. First and second reference faceprints are determined for a person using reference images captured respectively in predetermined face-portrait conditions and using ambient conditions. The faceprints are analyzed to determine a baseline faceprint and a range of variability from the baseline associated with the person. Results of the analyzing are stored and used in subsequent recognition of the person in a subsequent image acquired under ambient conditions. | 03-18-2010 |
20100182454 | Two Stage Detection for Photographic Eye Artifacts - An image acquisition device includes a first speed-optimized filter for producing a first set of candidate red-eye regions for an acquired image; and a second analysis-optimized filter for operating on the first set of candidate red eye regions and the acquired image. | 07-22-2010 |
20100260414 | DETECTING REDEYE DEFECTS IN DIGITAL IMAGES - A method for detecting a redeye defect in a digital image containing an eye comprises converting the digital image into an intensity image, and segmenting the intensity image into segments each having a local intensity maximum. Separately, the original digital image is thresholded to identify regions of relatively high intensity and a size falling within a predetermined range. Of these, a region is selected having substantially the highest average intensity, and those segments from the segmentation of the intensity image whose maxima are located in the selected region are identified. | 10-14-2010 |
20100329549 | Foreground/Background Separation in Digital Images - A method for providing improved foreground/background separation in a digital image of a scene is disclosed. The method comprises providing a first map comprising one or more regions provisionally defined as one of foreground or background within the digital image; and providing a subject profile corresponding to a region of interest of the digital image. The provisionally defined regions are compared with the subject profile to determine if any of the regions intersect with the profile region. The definition of one or more of the regions in the map is changed based on the comparison. | 12-30-2010 |
20110002506 | Eye Beautification - Sub-regions within a face image are identified to be enhanced by applying a localized smoothing kernel to luminance data corresponding to the sub-regions of the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face. | 01-06-2011 |
20110050938 | METHODS AND APPARATUSES FOR FOREGROUND, TOP-OF-THE-HEAD SEPARATION FROM BACKGROUND - Foreground and background regions of a digital image of a scene are distinguished from each other automatically. Foreground objects are identified in a binary image map that distinguishes between foreground pixels and background pixels. From the foreground objects, a primary foreground object is identified. Within the identified primary foreground object, a head region of the primary foreground object is located. Within the head region, patterns of foreground pixels and background pixels that are indicative of a head crown region are identified. Within the head crown region, pixels identified as background pixels that actually show portions of the primary foreground object are converted to foreground pixels, thus improving the accuracy of the binary image map. | 03-03-2011 |
20110069182 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 03-24-2011 |
20110069208 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 03-24-2011 |
20110074985 | Method and Apparatus of Correcting Hybrid Flash Artifacts in Digital Images - A method for digital image eye artifact detection and correction include identifying one or more candidate red-eye defect regions in an acquired image. For one or more candidate red-eye regions, a seed pixels and/or a region of pixels having a high intensity value in the vicinity of the candidate red-eye region is identified. The shape, roundness or other eye-related characteristic of a combined hybrid region including the candidate red-eye region and the region of high intensity pixels is analyzed. Based on the analysis of the eye-related characteristic of the combined hybrid region, it is determined whether to apply flash artifact correction, including red eye correction of the candidate red-eye region and/or correction of the region of high intensity pixels. | 03-31-2011 |
20110090363 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 04-21-2011 |
20110102628 | Foreground/Background Segmentation in Digital Images - An implementation efficient method of distinguishing between foreground and background regions of a digital image of a scene comprises capturing two images of nominally the same scene and storing the captured images in DCT-coded format, the first image being taken with the foreground more in focus than the background and the second image being taken with the background more in focus than the foreground. Regions of the first image are assigned as foreground or background according to whether the sum of selected higher order DCT coefficients decreases or increases for the equivalent regions of the second image. | 05-05-2011 |
20110102643 | Partial Face Detector Red-Eye Filter Method and Apparatus - A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate. | 05-05-2011 |
20110115949 | Two Stage Detection for Photographic Eye Artifacts - An image acquisition device includes a first speed-optimized filter for producing a first set of candidate red-eye regions for an acquired image; and a second analysis-optimized filter for operating on the first set of candidate red eye regions and the acquired image. | 05-19-2011 |
20110211095 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 09-01-2011 |
20110228134 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 09-22-2011 |
20110228135 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 09-22-2011 |
20110262034 | TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS - The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and re-analyzed during a second stage by an alternative set of analysis-optimized filters to determine a second set of confirmed redeye regions. | 10-27-2011 |
20110262035 | TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS - The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and re-analyzed during a second stage by an alternative set of analysis-optimized filters to determine a second set of confirmed redeye regions. | 10-27-2011 |
20110262038 | TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS - The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and re-analyzed during a second stage by an alternative set of analysis-optimized filters to determine a second set of confirmed redeye regions. | 10-27-2011 |
20120014600 | Analyzing Partial Face Regions for Red-Eye Detection in Acquired Digital Images - A method for red-eye detection in an acquired digital image includes acquiring a first image, and analyzing one or more partial face regions within the first image. One or more characteristics of the first image are determined. One or more corrective processes are identified including red eye correction that can be beneficially applied to the first image according to the one or more characteristics. The one or more corrective processes are applied to the first image. | 01-19-2012 |
20120063677 | Detecting Redeye Defects in Digital Images - A method for detecting a redeye defect in a digital image containing an eye comprises converting the digital image into an intensity image, and segmenting the intensity image into segments each having a local intensity maximum. Separately, the original digital image is thresholded to identify regions of relatively high intensity and a size falling within a predetermined range. Of these, a region is selected having substantially the highest average intensity, and those segments from the segmentation of the intensity image whose maxima are located in the selected region are identified. | 03-15-2012 |
20120069198 | Foreground/Background Separation Using Reference Images - A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background. In accordance with the assigning, one or more processed images are rendered based on the first image or the second image, or both. | 03-22-2012 |
20120069222 | Foreground/Background Separation Using Reference Images - A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background. In accordance with the assigning, one or more processed images are rendered based on the first image or the second image, or both. | 03-22-2012 |
20120120274 | Method and Apparatus of Correcting Hybrid Flash Artifacts in Digital Images - A method for digital image eye artifact detection and correction include identifying one or more candidate red-eye defect regions in an acquired image. For one or more candidate red-eye regions, a seed pixels and/or a region of pixels having a high intensity value in the vicinity of the candidate red-eye region is identified. The shape, roundness or other eye-related characteristic of a combined hybrid region including the candidate red-eye region and the region of high intensity pixels is analyzed. Based on the analysis of the eye-related characteristic of the combined hybrid region, it is determined whether to apply flash artifact correction, including red eye correction of the candidate red-eye region and/or correction of the region of high intensity pixels. | 05-17-2012 |
20130044236 | Method and Apparatus of Correcting Hybrid Flash Artifacts in Digital Images - A method for digital image eye artifact detection and correction include identifying one or more candidate red-eye defect regions in an acquired image. For one or more candidate red-eye regions, a seed pixels and/or a region of pixels having a high intensity value in the vicinity of the candidate red-eye region is identified. The shape, roundness or other eye-related characteristic of a combined hybrid region including the candidate red-eye region and the region of high intensity pixels is analyzed. Based on the analysis of the eye-related characteristic of the combined hybrid region, it is determined whether to apply flash artifact correction, including red eye correction of the candidate red-eye region and/or correction of the region of high intensity pixels. | 02-21-2013 |
20130188073 | Automatic Face and Skin Beautification Using Face Detection - Sub-regions within a face image are identified to be enhanced by applying a localized smoothing kernel to luminance data corresponding to the sub-regions of the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face. | 07-25-2013 |
20130208979 | Foreground / Background Separation In Digital Images - A method for providing improved foreground/background separation in a digital image of a scene is disclosed. The method comprises providing a first map comprising one or more regions provisionally defined as one of foreground or background within the digital image; and providing a subject profile corresponding to a region of interest of the digital image. The provisionally defined regions are compared with the subject profile to determine if any of the regions intersect with the profile region. The definition of one or more of the regions in the map is changed based on the comparison. | 08-15-2013 |
20130329079 | Eye Beautification Under Inaccurate Localization - Sub-regions within one or more face images are identified within a digital image, and enhanced by applying an artificial glint symmetrically and/or synchronously to image data corresponding to sub-regions of eyes within the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more eye regions of the face with the artificial glint. | 12-12-2013 |
20150067600 | Classification And Organization Of Consumer Digital Images Using Workflow, And Face Detection And Recognition - Techniques for identifying a person in a target image are described. According to one of the techniques, identifying a person in a target image involves displaying, within a graphical user interface, an image that depicts one or more faces. One or more faces are automatically detected within the image. A user provides input that selects a face of the one or more faces to be a currently-selected face. A set of images are selected from a collection of images, where the set of images includes images that closely match the currently-selected face. Concurrently with display of the currently-selected face, each image in the set of images is displayed. Within the graphical user interface, a control is provided. The control enables a user to select a target image from the set of images. In response to detecting that the user has selected a target image using the control, the currently-selected face is associated with a person to which the target image corresponds. | 03-05-2015 |