Image Recognition and Understanding based on the Geometric Information Criterion

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1. Self-evaluation from motion imagesWe have experimentally confirmed that the reliability of 3-D reconstruction from images taken by a moving camera can be evaluated from the original images by using the geometric AIC.2. Detection of degeneracyWe have experimentally confirmed that in binocular stereo vision and 3-D analysis from two images, the geometric AIC can well distinguish whether the object is a planar surface, the object is located infinitely far away, or the camera is simply rotating without translation.3. CAD interfaceWe have experimentally confirmed that regular figures manually input by humans can auto- matically be corrected into intended shapes without introducing empirical thresholds by the use of the geometric AIC.We have also demonstrated that curves and surfaces described by equations can be displayed efficiently by using interval analysis.4. Moving object detection from motion imagesWe have experimentally confirmed that we can detect objects moving in the scene by applying the geometric AIC to a image sequence of the scene taken by a moving camera.5. Rotation estimationWe have developed a technique for optimally computing the 3-D rotation of objects from their noisy stereo images and experimentally confirmed its effectiveness. 6. Robot self-localization We have developed a technique for optimally computing the current position of a mobile robot by matching a noisy image it takes with the 3-D model of the environment and experimentally confirmed its effectiveness.