Patent application number | Description | Published |
20090190852 | Image inpainting method and apparatus based on viewpoint change - Provided is a method and apparatus for inpainting a depth image and a color image seen from one viewpoint by using a depth image and a color image inpainted from another viewpoint. The method includes detecting an edge on the basis of a difference between depth values of pixels in a first image seen from a view viewpoint and inpainting depth values of pixels in an occlusion region that is shown in a second image seen from a second viewpoint but not shown in the first image, in a direction from pixels in a region having high depth values among regions forming the edge to pixels in a region having low depth values. | 07-30-2009 |
20090201384 | Method and apparatus for matching color image and depth image - A method and apparatus for matching images are provided. The image matching method includes: obtaining a depth image and an intensity image of an object using a depth camera installed at a first position and a color image of the object using a color camera installed at a second position other than the first poison; | 08-13-2009 |
20090257650 | Image processing method and medium to extract a building region from an image - Provided is a method of performing an image segmentation so as to extract a building region from an input color image. The method includes extracting a plurality of straight lines that pass through a vanishing point and determining the building region in the image based on color values around the plurality of straight lines. | 10-15-2009 |
20090324062 | IMAGE PROCESSING METHOD - The present invention relates to a method of matching a color image and depth image using feature points corresponding to each other. An image processing method, including: selecting a first pixel group including at least one pixel from an input color image; selecting a second pixel group including at least one pixel corresponding to each of the at least one pixel included in the first pixel group from an input depth image; calculating a transformation function of the first pixel group and second pixel group based on a coordinate value of each of the at least one pixel included in the first pixel group and a coordinate value of each of the at least one pixel included in the second pixel group; and matching each pixel of the input color image with each pixel of the input depth image based on the transformation function. Image processing apparatus, including: a first selection unit selecting a first pixel group including at least one pixel from an input color image; a second selection unit selecting a second pixel group including at least one pixel corresponding to each of the at least one pixel included in the first pixel group from an input depth image; a calculation unit calculating a transformation function of the first pixel group and second pixel group based on a coordinate value of each of the at least one pixel included in the first pixel group and a coordinate value of each of the at least one pixel included in the second pixel group; and an image matching unit matching each pixel of the input color image with each pixel of the input depth image based on the transformation function. | 12-31-2009 |
20100014716 | Method for determining ground line - A method of determining a ground line from an input image. The method includes determining a plurality of ground line candidates from the image, determining a certain band a central-line of which is a boundary between a G region and other regions in a Ground Building Sky (GBS) map of the image, and determining the ground line of the image by selecting a ground line candidate, among the plurality of ground line candidates, having the greatest extent crossing the certain band. | 01-21-2010 |
20100097389 | Image processing method - An image processing method which determines and depth-unfolds a depth folding region in an input depth image. A depth folding region of an input depth image may be determined based on a variance of the input depth image, a gradient image, and the like. A predetermined first depth value may be added to a depth value of each pixel of the determined depth folding region and depth information of the input depth image may be updated. | 04-22-2010 |
20100111446 | Image processing apparatus and method - An image processing apparatus and method are provided. A control unit may divide input image array data into a plurality of sub-blocks, and a first arithmetic logic unit (ALU) may generate an integral image of at least one of the plurality of sub-blocks. The control unit may determine each of the plurality of sub-blocks to be included in any one of a first sub-block group and a second sub-block group, store the integral image of each sub-block included in the first sub-block group on the first memory, and store the integral image of each sub-block included in the second sub-block group on the second memory. | 05-06-2010 |
20100183236 | Method, medium, and apparatus of filtering depth noise using depth information - A depth noise filtering method and apparatus is provided. The depth noise filtering method may perform spatial filtering or temporal filtering according to depth information. In order to perform spatial filtering, the depth noise filtering method may determine a characteristic of a spatial filter based on depth information. Also, in order to perform temporal filtering, the depth noise filtering method may determine a number of reference frames based on depth information. The depth noise filtering method may adaptively remove depth noise according to depth information and thereby enhance a noise filtering performance. | 07-22-2010 |
20100238168 | APPARATUS AND METHOD FOR GENERATING SKELETON MODEL USING MOTION DATA AND IMAGE DATA - An apparatus and method for generating a skeleton model using motion data and image data. The apparatus for generating the skeleton model may synchronize the image data and the motion data, and generate a three-dimensional (3D) skeleton model of an entire body of a user using a silhouette extracted from the image data and also using a position or orientation of a joint of the user extracted from the motion data. The skeleton model may be generated using the image data and the motion data, thereby improving accuracy of the skeleton model of the entire body of the user. | 09-23-2010 |
20100309201 | IMAGE PROCESSING APPARATUS, MEDIUM, AND METHOD - Provided is an image processing apparatus, medium, and method. The image processing apparatus may include a first calculator and a second calculator. The first calculator may calculate a first weight of a first frame depth value of a first pixel of a depth image and a second weight of a second frame depth value of the first pixel, based on an obtainment time difference between the first frame depth value of the first pixel and the second frame depth value of the first pixel among a plurality of frame depth values of the first pixel. The second calculator may determine a corrected first frame depth value of the first pixel using a linear sum that is calculated by applying the first weight to the first frame depth value of the first pixel, and by applying the second weight to the second frame depth value of the first pixel. | 12-09-2010 |
20100328307 | Image processing apparatus and method - An image processing apparatus. The image processing apparatus may generate a texture by synthesizing a facial area of an input color image and a template texture, generate a mesh model by matching a template mesh model corresponding to the template texture and a depth image corresponding to the input color image, and generate a three-dimensional (3D) facial model based on the texture and the mesh model. | 12-30-2010 |
20110043610 | THREE-DIMENSIONAL FACE CAPTURING APPARATUS AND METHOD AND COMPUTER-READABLE MEDIUM THEREOF - Disclosed is a 3D face capturing apparatus, method and computer-readable medium. As an example, the 3D face capturing method includes obtaining a face color image, obtaining a face depth image, aligning, by a computer, the face color image and the face depth image, obtaining, by the computer, a 3D face model by 2D modeling of the face color image and covering a modeled 2D face area on an image output by an image alignment module, removing by the computer, depth noise of the 3D face model, and obtaining, by the computer, an accurate 3D face model by aligning the 3D face model and a 3D face template, and removing residual noise based on a registration between the 3D face model and the 3D face template. | 02-24-2011 |
20110069888 | Image processing apparatus and method - An image processing apparatus is provided. A silhouette extractor may extract a silhouette image of a target object from an input depth image. A first calculator may determine a location of at least one limb of the target object and a location of at least one joint connecting the at least one limb by applying a rectangle fitting algorithm with respect to the silhouette image. | 03-24-2011 |
20110254841 | Mesh generating apparatus, method and computer-readable medium, and image processing apparatus, method and computer-readable medium - Disclosed is a mesh generating apparatus, method and computer-readable medium, and an image processing apparatus, method and computer-readable medium. A single 3D mesh and a single 3D object model may be generated using a single color image and a single depth image. A plurality of viewpoint images seen from a plurality of viewpoints may be generated from a single 3D object model. | 10-20-2011 |
20110254923 | Image processing apparatus, method and computer-readable medium - Provided is an image processing apparatus, method and computer-readable medium. The image processing apparatus may perform modeling of a function that enables correction of a systematic error of a depth camera, using a single depth camera and a single calibration reference image. Additionally, the image processing apparatus may calculate a depth error or a distance error of an input image, and may correct a measured depth of the input image using a modeled function. | 10-20-2011 |
20110305370 | Apparatus and method for depth unfolding based on multiple depth images - Provided is a depth image unfolding apparatus and method that may remove a depth fold from a depth image to restore a three-dimensional (3D) image. The depth image unfolding apparatus may include an input unit to receive inputted multiple depth images with respect to the same scene, the multiple depth images being photographed based on different modulation frequencies of a fixed photographing device, a depth fold estimator to estimate a number of depth folds based on a distance between multiple three-dimensional (3D) points of multiple pixels indicating the same location of the scene in the multiple depth images, and an output unit to output the multiple depth images from which depth folds are removed based on the estimated number of depth folds. | 12-15-2011 |
20120001902 | Apparatus and method for bidirectionally inpainting occlusion area based on predicted volume - An apparatus and method for bidirectionally inpainting an occlusion area appearing during generation of a virtual viewpoint image, using a foreground area and a background area based on a predicted volume are provided. The method includes receiving an input of a depth image and a color image, the depth image having depth information for a first viewpoint, and the color image having color information for the first viewpoint, generating a virtual viewpoint image at a second viewpoint based on the depth image and the color image, separating the virtual viewpoint image into a foreground area and a background area, based on the depth information and direction information regarding a direction from the first viewpoint to the second viewpoint, predicting a three-dimensional (3D) volume of the foreground area, and inpainting an occlusion area bidirectionally using the foreground area and the background area, based on the predicted 3D volume, the occlusion area being included in the virtual viewpoint image. | 01-05-2012 |
20120026296 | IMAGE PROCESSING APPARATUS AND METHOD - A first calculator of an image processing apparatus may trace a view transform vector between color images of different frames. A second calculator may trace a view transform vector between depth images of different frames. In this example, a third calculator may calculate a view transform vector between the color camera and the depth camera using the view transform vector between the color images and the view transform vector between the depth images. | 02-02-2012 |
20120045143 | Apparatus and method for high speed filtering of image for high precision - Provided are an apparatus and a method for high speed filtering of an image for high precision that may include a coordinate determining unit to determine coordinates (P, Q) on a screen with respect to a first pixel to be filtered, a pixel determining unit to determine a second pixel with coordinates including either P or Q, a block setting unit to set a first block comprising the first pixel, and a second block comprising the second pixel, and a processing unit to filter the first pixel by comparing the first block and the second block. | 02-23-2012 |
20120114225 | IMAGE PROCESSING APPARATUS AND METHOD OF GENERATING A MULTI-VIEW IMAGE - An image processing apparatus may detect an occlusion boundary between objects within an input depth image by applying an edge detection algorithm to the input depth image. The image processing apparatus may classify the occlusion boundary into a foreground region boundary and a background region boundary using a depth gradient vector direction of the occlusion boundary, and may extract an occlusion region of the input depth image using the foreground region boundary. | 05-10-2012 |
20120121162 | Filtering apparatus and method for high precision restoration of depth image - A high speed filtering apparatus and a method for high precision restoration of a depth image are provided. The high speed filtering apparatus for high precision restoration of the depth image may include a block setting unit to set a first block including a target pixel, and to set a second block with respect to a central pixel distributed around the target pixel based on a size of the first block, a weight determining unit to determine a pixel weight with respect to each pixel in the second block, and to determine a block weight with respect to the second block by applying the pixel weight, and a processor to filter the target pixel based on the block weight, thereby accurately filtering the target pixel. | 05-17-2012 |
20120162370 | Apparatus and method for generating depth image - Provided is a depth image generating apparatus. The depth image generating apparatus may include a filtering unit, a modulation unit, and a sensing unit. The filtering unit may band pass filter an infrared light of a first wavelength band among infrared lights received from an object. The modulation unit may modulate the infrared light of the first wavelength band to an infrared light of a second wavelength band. The sensing unit may generate an electrical signal by sensing the modulated infrared light of the second wavelength band. | 06-28-2012 |
20130002823 | IMAGE GENERATING APPARATUS AND METHOD - An image generating apparatus may include a first reflector and a second reflector. When a light emitter emits an infrared light, the infrared light may be reflected from a first reflector and be omni-directionally reflected. The reflected infrared light that is the infrared light reflected from the object may be reflected from a second reflector and be transferred to a sensor. The sensor may receive the reflected infrared light and generate a depth image of the object. | 01-03-2013 |
20130011045 | APPARATUS AND METHOD FOR GENERATING THREE-DIMENSIONAL (3D) ZOOM IMAGE OF STEREO CAMERA - An apparatus and method for generating a three-dimensional (3D) zoom image of a stereo camera are provided that may compute a baseline variation or a convergence angle that is associated with a magnification of a zoom image acquired from the stereo camera, may warp the zoom image using the computed baseline variation or the computed convergence angle, and may perform inpainting on the warped image to prevent a distortion of 3D information, so that a 3D zoom image may be generated without a distortion of 3D information using a zoom lens. | 01-10-2013 |
20130011046 | DEPTH IMAGE CONVERSION APPARATUS AND METHOD - Provided are an apparatus and method for converting a low-resolution depth image to a depth image having a resolution identical to a resolution of a high-resolution color image. The depth image conversion apparatus may generate a discrete depth image by quantizing a depth value of an up-sampled depth image, estimate a high-resolution discrete depth image by optimizing an objective functions of the discrete depth image based on the high-resolution color image and an up-sampled depth border, and convert the up-sampled depth image to a high-resolution depth image by filtering the up-sampled depth image when a difference between discrete depth values of neighboring pixels in the high-resolution discrete depth image is less than a predetermined threshold value. | 01-10-2013 |
20130039567 | METHOD AND APPARATUS TO GENERATE A VOLUME-PANORAMA IMAGE - A method and apparatus to generate a volume-panorama image are provided. A method of generating a volume-panorama image includes receiving conversion relationships between volume images, one of the received conversion relationships being between a first volume image of the volume images and a second volume image of the volume images, the second volume image including an area that is common to an area of the first volume image, generating an optimized conversion relationship from the one of the received conversion relationships based on the received conversion relationships, and generating the volume-panorama image based on the generated optimized conversion relationship. | 02-14-2013 |
20130107005 | IMAGE PROCESSING APPARATUS AND METHOD | 05-02-2013 |
20140241644 | METHOD, MEDIUM, AND APPARATUS OF FILTERING DEPTH NOISE USING DEPTH INFORMATION - A depth noise filtering method and apparatus is provided. The depth noise filtering method may perform spatial filtering or temporal filtering according to depth information. In order to perform spatial filtering, the depth noise filtering method may determine a characteristic of a spatial filter based on depth information. Also, in order to perform temporal filtering, the depth noise filtering method may determine a number of reference frames based on depth information. The depth noise filtering method may adaptively remove depth noise according to depth information and thereby enhance a noise filtering performance. | 08-28-2014 |