Abstract: A method and system for monitoring the motion of one or both eyes, includes capturing a sequence of overlapping images of a subject's face including an eye and the corresponding non-eye region; identifying a plurality of keypoints in each image; mapping corresponding keypoints in two or more images of the sequence; assigning the keypoints to the eye and to the corresponding non-eye region; calculating individual velocities of the corresponding keypoints in the eye and the corresponding non-eye region to obtain a distribution of velocities; extracting at least one velocity measured for the eye and at least one velocity measured for the corresponding non-eye region; calculating the eye-in-head velocity for the eye based upon the measured velocity for the eye and the measured velocity for the corresponding non-eye region; and calculating the eye-in-head position based upon the eye-in-head velocity.

Abstract: A method and system for monitoring the motion of one or both eyes, includes capturing a sequence of overlapping images of a subject's face including an eye and the corresponding non-eye region; identifying a plurality of keypoints in each image; mapping corresponding keypoints in two or more images of the sequence; assigning the keypoints to the eye and to the corresponding non-eye region; calculating individual velocities of the corresponding keypoints in the eye and the corresponding non-eye region to obtain a distribution of velocities; extracting at least one velocity measured for the eye and at least one velocity measured for the corresponding non-eye region; calculating the eye-in-head velocity for the eye based upon the measured velocity for the eye and the measured velocity for the corresponding non-eye region; and calculating the eye-in-head position based upon the eye-in-head velocity.

Abstract: A method, non-transitory computer readable medium, and apparatus that assist with object recognition includes determining when at least one eye of an observer fixates on a location in one or more of a sequence of fixation tracking images. The determined fixation location in the one or more of the sequence of images is correlated to a corresponding one of one or more sequence of field of view images. At least the determined fixation location in each of the correlated sequence of field of view images is classified based on at least one of a classification input or a measurement and comparison of one or more features of the determined fixation location in each of the correlated sequence of field of view images against one or more stored measurement feature values. The determined classification of the fixation location in each of the correlated sequence of field of view images is output.

Abstract: The method enhances the perceived quality of the main subject matter in an image at capture by determining where in the scene the photographer is looking using gaze-tracking technology. The device includes an image management computing device coupling a processor, memory, input and display device interface, optional network interface device, and camera directed at the photographer as well as the scene.

Abstract: A method, non-transitory computer readable medium, and apparatus that assist with object recognition includes determining when at least one eye of an observer fixates on a location in one or more of a sequence of fixation tracking images. The determined fixation location in the one or more of the sequence of fixation tracking images is correlated to a corresponding one of one or more sequence of field of view images. At least the determined fixation location in each of the correlated sequence of field of view images is classified based on at least one of a classification input or a measurement and comparison of one or more features of the determined fixation location in each of the correlated sequence of field of view images against one or more stored measurement feature values. The determined classification of the fixation location in each of the correlated sequence of field of view images is output.

Abstract: A system and method for retraining the visual system of a subject with damage to the striate and/or extrastriate visual cortex includes displaying a visual stimulus within a first location of an impaired visual field of the subject; and detecting the subject's perception of an attribute of the visual stimulus. The system and method are believed to effectively recruit undamaged higher level structures in the visual system to assume the functions of the damaged structures.

Abstract: A system and method for retraining the visual system of a subject with damage to the striate and/or extrastriate visual cortex includes displaying a visual stimulus within a first location of an impaired visual field of the subject; and detecting the subject's perception of an attribute of the visual stimulus. The system and method are believed to effectively recruit undamaged higher level structures in the visual system to assume the functions of the damaged structures.

Abstract: A method for reducing noise in a digital image includes providing a digital image comprising a plurality of channels with each of the channels comprising a set of pixel data signals and applying a filter to each of the sets of pixel data signals, where the filter applied to at least one of the sets of pixel data signals is different from the filter applied to another one of the sets of pixel data signals. An imaging system which reduce noise in a digital image includes an image sensor apparatus and a filter system. The image sensor apparatus captures a digital image comprising a plurality of channels with each of the channels comprising a set of pixel data signals. The filter system comprises at least two different filters with each of the filters filtering at least one of the sets of pixel data signals for one of the channels. The filter applied to at least one of the sets of pixel data signals is different from the filter applied to another one of the sets of pixel data signals.