Trinocular Stereo Vision for Robotics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Single Lens Stereo with a Plenoptic Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A new approach to pose detection using a trinocular stereovision system
Real-Time Imaging
View synthesis using stereo vision
View synthesis using stereo vision
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This correspondence describes a new stereo analysis method using three views, in which correspondence is established among three images taken from triangularly configured viewpoints. Each match-point candidate obtained by the initial matching between the first and second images is easily examined independently of the other candidates using the third image. The correspondence determination is simple, fast, and reliable. Additionally, this analysis method allows occlusion to be dealt with explicitly. The effectiveness of the three-view stereo-analysis method is demonstrated by simulation and real object experiments. Ambiguous matches are sufficiently avoided for polyhedra. Position errors are less than 2.5 mm (about 0.4 percent) with camera-object spacing of 630 mm.