Abstract:
A pattern recognition method uses unsupervised metric learning starting from a mixture of normal densities which explains well observed data. An improved decision rule is provided for selecting the reference database element most likely to correspond to a query.
Abstract:
A technique for determining the ego-motion between two frames of an image that includes estimating likely values of the translation and rotation and making a five-dimensional search over the space of likely translations and rotations and finding the global minimum at the current motion estimate by a sum of squared differences cost function.
Abstract:
A stereoscopic computer vision system that uses a novel algorithm for obtaining the best match between corresponding features in the left and right images of desired objects in the image scene, finds the disparity between corresponding features in the left and right views and then uses the disparity to calculate the distance of the desired object from the two cameras used to provide the left and right images.
Abstract:
A teleconferencing video system uses two cameras at each station symmetrically positioned on opposite sides of the optical axis between the speaker and the monitor used to produce an image of the listener. The two cameras are used to provide from the two images observed by the cameras a virtual image corresponding to the image that would be viewed by a camera located on the first-mentioned optical axis. This system permits eye contact to be maintained between a speaker and a listener at different stations whereby the feeling of intimacy is enhanced.
Abstract:
Computer vision algorithms for detecting contours or localized regions of prescribed intensity distributions in an image scene utilizing multiple hypothesis probabilistic data association techniques to overcome the effect of noise or false readings.