Abstract: Provided herein is are computer-implemented methods, computer-implemented systems, and non-transitory computer-readable storage media for registering a user's eye gaze profile via a mobile device having a screen and a front facing camera. Also provided herein is are computer-implemented methods, computer-implemented systems, and non-transitory computer-readable storage media for determining a spoofing attempt by a user during a request to access a resource via a mobile device.

Abstract: Provided herein are devices, systems, and methods for detecting spoofing of a 3D object, using a 2D representation, in a mobile object authentication process, comprising capturing image data of the 3D object by a front-facing camera, to record a current spatial characteristic of the 3D object, while a front-facing screen displays an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time. The devices, systems, and methods thereby provide an efficient and secure process for determining if spoofing of the 3D object, using a 2D representation, is attempted in a mobile authentication process, by comparing the current spatial characteristic of the 3D object with a stored reference spatial characteristic of the 3D object.

Abstract: Described are methods, systems, and medias for detecting spoofing of biometric identity recognition and/or validating an identity recognition match by using the camera of a mobile device, processing the user's face image or set of images at a first and second distance to generate first and second data representations, processing the first data representation into a predictive model, and comparing the data representation with the predictive model.

Abstract: Provided herein is are computer-implemented methods, computer-implemented systems, and non-transitory computer-readable storage media for registering a user's eye gaze profile via a mobile device having a screen and a front facing camera. Also provided herein is are computer-implemented methods, computer-implemented systems, and non-transitory computer-readable storage media for determining a spoofing attempt by a user during a request to access a resource via a mobile device.

Abstract: Provided herein are devices, systems, and methods for detecting spoofing of a 3D object, using a 2D representation, in a mobile object authentication process, comprising capturing image data of the 3D object by a front-facing camera, to record a current spatial characteristic of the 3D object, while a front-facing screen displays an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time. The devices, systems, and methods thereby provide an efficient and secure process for determining if spoofing of the 3D object, using a 2D representation, is attempted in a mobile authentication process, by comparing the current spatial characteristic of the 3D object with a stored reference spatial characteristic of the 3D object.

Abstract: Described are methods, systems, and medias for detecting spoofing of biometric identity recognition and/or validating an identity recognition match by using the camera of a mobile device, processing the user's face image or set of images at a first and second distance to generate first and second data representations, processing the first data representation into a predictive model, and comparing the data representation with the predictive model.

Abstract: Provided herein are devices, systems, and methods for detecting spoofing of a 3D object, using a 2D representation, in a mobile object authentication process, comprising capturing image data of the 3D object by a front-facing camera, to record a current spatial characteristic of the 3D object, while a front-facing screen displays an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time. The devices, systems, and methods thereby provide an efficient and secure process for determining if spoofing of the 3D object, using a 2D representation, is attempted in a mobile authentication process, by comparing the current spatial characteristic of the 3D object with a stored reference spatial characteristic of the 3D object.

Abstract: An object tracking device includes a camera with a field of view oriented in a first direction and a mirror with a field of reflection oriented in a second direction. When an object is in a first region in the field of view of the electronic camera, the camera has a direct view of the object and a reflected view of the object from the mirror. A processor coupled with the camera is configured to receive a first image data set and a second image data set from the camera. The first image data set and the second image data set each include the direct view of the object and the reflected view of the object from the mirror.

Abstract: Embodiments of the present invention provide a novel system and/or method for performing over-the-network collaborations and interactions between remote end-users. Embodiments of the present invention produce the perceived effect of each user sharing a same physical workspace while each person is actually located in separate physical environments. In this manner, embodiments of the present invention allow for more seamless interactions between users while relieving them of the burden of using common computer peripheral devices such as mice, keyboards, and other hardware often used to perform such interactions.

Abstract: Embodiments of the present invention provide a novel system and/or method for performing over-the-network collaborations and interactions between remote end-users. Embodiments of the present invention produce the perceived effect of each user sharing a same physical workspace while each person is actually located in separate physical environments. In this manner, embodiments of the present invention allow for more seamless interactions between users while relieving them of the burden of using common computer peripheral devices such as mice, keyboards, and other hardware often used to perform such interactions.

Abstract: An apparatus comprises a processor configured to: process, automatically and in real time, segmentation of a video object from a portion of a video, wherein the video object is a foreground of the video, and wherein a remaining portion of the video is a background of the video; and remove the background.

Abstract: A method comprising rendering a video display signal comprising combining local illumination video objects from different sources into each frame of a plurality of frames, wherein the local illumination video objects are video objects on which chromatic adaptation was performed using an illumination reference common to all video objects. An apparatus comprising a processor configured to render a video display signal comprising combining local illumination video objects from different sources into each frame of a plurality of frames, wherein the local illumination video objects are video objects on which chromatic adaptation was performed using an illumination reference common to all video objects.

Abstract: An apparatus comprises a processor configured to: process, automatically and in real time, segmentation of a video object from a portion of a video, wherein the video object is a foreground of the video, and wherein a remaining portion of the video is a background of the video; and remove the background.

Abstract: An object tracking device includes a camera with a field of view oriented in a first direction and a mirror with a field of reflection oriented in a second direction. When an object is in a first region in the field of view of the electronic camera, the camera has a direct view of the object and a reflected view of the object from the mirror. A processor coupled with the camera is configured to receive a first image data set and a second image data set from the camera. The first image data set and the second image data set each include the direct view of the object and the reflected view of the object from the mirror.

Abstract: Systems and methods are disclosed for determining personal characteristics from images by generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); capturing correspondences of faces by face tracking, and applying incremental learning to the CNNs and enforcing correspondence constraint such that CNN outputs are consistent and stable for one person.

Abstract: An automated human action recognition system may automatically recognize one or more actions of a human from 2D input image data representing a sequential series of input images of the human performing the one or more actions. Each input image may be from an unknown viewpoint. A computer memory system may contain 2D reference image data representing a plurality of reference actions which a human may perform. The 2D reference image data may include a plurality of linked sequences of key poses, including a linked sequence of key poses for each reference action. For each reference action, each key pose within the linked sequence of key poses for the reference action may consist essentially of 2D image data that is representative of a human figure performing the reference action at a selected point during the reference action.

Abstract: A mobile device can generate a three-dimensional model of a person's face by capturing and processing a plurality of two-dimensional images. During operation, the mobile device uses an image-capture device to capture a set of images of the person from various orientations as the person or any other user sweeps the mobile device in front of the person's face from one side of his/her face to the opposing side. The device determines orientation information for the captured images, and detects a plurality of features of the person's face from the captured images. The device then generates a three-dimensional model of the person's face from the detected features and their orientation information. The three-dimensional model of the person's face facilitates identifying and/or authenticating the person's identity.

Abstract: A method comprising rendering a video display signal comprising combining local illumination video objects from different sources into each frame of a plurality of frames, wherein the local illumination video objects are video objects on which chromatic adaptation was performed using an illumination reference common to all video objects. An apparatus comprising a processor configured to render a video display signal comprising combining local illumination video objects from different sources into each frame of a plurality of frames, wherein the local illumination video objects are video objects on which chromatic adaptation was performed using an illumination reference common to all video objects.

Abstract: Systems and methods are disclosed to perform image parsing on one or more images by identifying a set of similar regions from each image; assigning one or more region labels to each region and generating multiple hypotheses for region label assignment; and detecting class, location and boundary of each object in the image, wherein object classification, detection and segmentation are performed jointly during image parsing.

Abstract: A human tracking apparatus and method capable of highly accurately tracking the movement of persons photographed in moving images includes: an image memory 107 that stores an inputted frame image; a human detecting unit 101 that detects persons photographed in the inputted frame image; a candidate registering unit 106 that registers already detected persons as candidates; a similarity index calculating unit 102 that calculates similarity indices indicating the similarity between the persons detected in the inputted frame image and the registered candidates for two or more types of parameters based on the stored frame images in relation to all combinations of the persons and the candidates; a normalizing unit 103 that normalizes the similarity indices; an integrating unit 104 that integrates the normalized indices for each combination of the detected persons and the candidates; and a tracking unit 105 that identifies a person the same as an arbitrary candidate based on the similarity indices.