Patent application number | Description | Published |
20120314914 | ENHANCED FACE RECOGNITION IN VIDEO - The computational resources needed to perform processes such as image recognition can be reduced by determining appropriate frames of image information to use for the processing. In some embodiments, infrared imaging can be used to determine when a person is looking substantially towards a device, such that an image frame captured at that time will likely be adequate for facial recognition. In other embodiments, sound triangulation or motion sensing can be used to assist in determining which captured image frames to discard and which to select for processing based on any of a number of factors indicative of a proper frame for processing. | 12-13-2012 |
20130004016 | USER IDENTIFICATION BY GESTURE RECOGNITION - A user can be identified and/or authenticated to an electronic device by analyzing aspects of a motion or gesture made by that user. At least one imaging element of the device can capture image information including the motion or gesture, and can determine time-dependent information about that motion or gesture in two or three dimensions of space. The time-dependent information can be used to identify varying speeds, motions, and other such aspects that are indicative of a particular user. The way in which a gesture or motion is made, in addition to the motion or gesture itself, can be used to authenticate an individual user. While other persons can learn the basic gesture or motion, the way in which each person makes that gesture or motion will generally be at least slightly different, which can be used to prevent unauthorized access to sensitive information, protected functionality, or other such content. | 01-03-2013 |
20130016102 | SIMULATING THREE-DIMENSIONAL FEATURES - Image information displayed on an electronic device can be modified based at least in part upon a relative position of a user with respect to a device. Mapping, topological or other types of positional data can be used to render image content from a perspective that is consistent with a viewing angle for the current relative position of the user. As that viewing angle changes, as a result of movement of the user and/or the device, the content can be re-rendered or otherwise updated to display the image content from a perspective that reflects the change in viewing angle. Simulations of effects such as parallax and occlusions can be used with the change in perspective to provide a consistent user experience that provides a sense of three-dimensional content even when that content is rendered on a two-dimensional display. Lighting, shading and/or other effects can be used to enhance the experience. | 01-17-2013 |
20130330003 | ADAPTIVE THRESHOLDING FOR IMAGE RECOGNITION - Various approaches for providing textual information to an application, system, or service are disclosed. In particular, various embodiments enable a user to capture an image with a camera of a portable computing device. The computing device is capable of taking the image and processing it to recognize, identify, and/or isolate the text in order to forward the text to an application or function. The application or function can then utilize the text to perform an action in substantially real-time. The text may include an email, phone number, URL, an address, and the like and the application or function may be dialing the phone number, navigating to the URL, opening an address book to save contact information, displaying a map to show the address, and so on. Adaptive thresholding can be used to account for variations across an image, in order to improve the accuracy and efficiency of text recognition processes. | 12-12-2013 |
20140126777 | ENHANCED FACE RECOGNITION IN VIDEO - The computational resources needed to perform processes such as image recognition can be reduced by determining appropriate frames of image information to use for the processing. In some embodiments, infrared imaging can be used to determine when a person is looking substantially towards a device, such that an image frame captured at that time will likely be adequate for facial recognition. In other embodiments, sound triangulation or motion sensing can be used to assist in determining which captured image frames to discard and which to select for processing based on any of a number of factors indicative of a proper frame for processing. | 05-08-2014 |
20140187223 | ADAPTIVE THRESHOLDING FOR IMAGE RECOGNITION - Various approaches for providing textual information to an application, system, or service are disclosed. In particular, various embodiments enable a user to capture an image with a camera of a portable computing device. The computing device is capable of taking the image and processing it to recognize, identify, and/or isolate the text in order to forward the text to an application or function. The application or function can then utilize the text to perform an action in substantially real-time. The text may include an email, phone number, URL, an address, and the like and the application or function may be dialing the phone number, navigating to the URL, opening an address book to save contact information, displaying a map to show the address, and so on. Adaptive thresholding can be used to account for variations across an image, in order to improve the accuracy and efficiency of text recognition processes. | 07-03-2014 |
20140219515 | USER IDENTIFICATION BY GESTURE RECOGNITION - A user can be identified and/or authenticated to an electronic device by analyzing aspects of a motion or gesture made by that user. At least one imaging element of the device can capture image information including the motion or gesture, and can determine time-dependent information about that motion or gesture in two or three dimensions of space. The time-dependent information can be used to identify varying speeds, motions, and other such aspects that are indicative of a particular user. The way in which a gesture or motion is made, in addition to the motion or gesture itself, can be used to authenticate an individual user. While other persons can learn the basic gesture or motion, the way in which each person makes that gesture or motion will generally be at least slightly different, which can be used to prevent unauthorized access to sensitive information, protected functionality, or other such content. | 08-07-2014 |
20150036884 | RECOGNIZING GESTURES CAPTURED BY VIDEO - Motions and gestures can be detected using a video capture element of a computing device even when the video capture element is not able to accurately capture the motion. Information about the background in the image information can be determined, and the way in which that background information is occluded can be used to determine the motion. In at least some embodiments, edges are detected in the video information. Images of foreground objects can then be isolated from edges of background images by comparing histograms of multiple frames of video. The remaining data is indicative of a direction and speed of motion, which can be used to infer a determined gesture even though that gesture was not visible in the captured video information. | 02-05-2015 |
20150078623 | ENHANCED FACE RECOGNITION IN VIDEO - The computational resources needed to perform processes such as image recognition can be reduced by determining appropriate frames of image information to use for the processing. In some embodiments, infrared imaging can be used to determine when a person is looking substantially towards a device, such that an image frame captured at that time will likely be adequate for facial recognition. In other embodiments, sound triangulation or motion sensing can be used to assist in determining which captured image frames to discard and which to select for processing based on any of a number of factors indicative of a proper frame for processing. | 03-19-2015 |