Other

Identix Corporation

Kwok, Chu & Schindler LLC

Bruno DeLean

Image based operating systems and methods are provided that identify objects in video data and then take appropriate action in a wide variety of environments. In some embodiments, the image based operating systems and methods allow a user to activate other devices and systems by making a gesture.

Systems, methods and computer program products for identifying objects in video data

A vision-based operating system is provided in which a computer-based system accepts visual inputs and takes appropriate actions in a wide variety of environments. One environment is a security environment in which the vision-based operating system acquires an image of a face and determines, with an arbitrarily small probability of a false positive, whether the face is of a person who is authorized to enter the environment. The method employed may include acquiring a digital image for comparison to a reference image and identifying two or more groups of pixels in the acquired image. The pixel groups in the reference image that are the best match for the two or more pixels groups in the acquired image are selected. The relative locations of the selected pixel groups in the reference image and the two or more pixel groups in the acquired image are compared, and the probability that the relative locations occurred randomly is determined.

Vision-based operating method and system

A video processor for recognizing gestures, including a video camera for capturing photographs of a region within the camera's field of view, in real-time, an image processor coupled with the video camera for detecting a plurality of hand gestures from the photographs captured by the video camera, and a controller coupled with the image processor, wherein the controller can be in a dormant mode or an active mode, and wherein the controller transitions from dormant mode to active mode when the image processor detects a progression of two states within the captured photographs, the two states being (i) a closed fist and (ii) an open hand, and wherein the controller performs a programmed responsive action to an electronic device based on the hand gestures detected by the image processor when the controller is in active mode. A method and a computer-readable storage medium are also described and claimed.

Remote control apparatus using gesture recognition

A method for transforming a first image defined by a first multi-dimensional color space (RGB) into second image defined by a second multi-dimensional color space (CMYK). The method computes the transformation using information derived from a previous transformation of said second image into said first image. The method then minimizes the error produced while transforming the second image back into the first image. As such, an image editing system can display on a video monitor an image that is defined in one multi-dimensional color space (RGB), print using a printer that prints images using a second multi-dimensional color space (CMYK) and edit an image using any multi-dimensional color space (either RGB or CMYK) that facilitates rapid and accurate image editing.

Method for performing a color space transformation

A vision-based operating system is provided in which a computer-based system accepts visual inputs and takes appropriate actions in a wide variety of environments. One environment is a security environment in which the vision-based operating system acquires an image of a face and determines, with an arbitrarily small probability of a false positive, whether the face is of a person who is authorized to enter the environment. The method employed may include acquiring a digital image for comparison to a reference image and identifying a group of pixels in the acquired image. A pixel group in the reference image that is the best match for the pixel group in the acquired image is selected. These steps are repeated for at least one more group of pixels. The relative locations of the selected pixel groups in the reference images and the pixel groups in the acquired image are compared, and the probability that the relative locations occurred randomly is determined.

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Andorra la Vella, Andorra

Bruno DeLean