19 February 1988 An Experimental System For The Integration Of Information From Stereo And Multiple Shape From Texture Algorithms
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Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942727
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
In numerous computer vision applications, there is both the need and the ability to access multiple types of information about the three dimensional aspects of objects or surfaces. When this information comes from different sources the combination becomes non-trivial. This paper describes the present state of ongoing research in Columbia's Vision Laboratory in the integration of multiple visual sensing methodologies which yield three dimensional information, in particular, feature based stereo algorithms, and various shape-from-texture algorithms are already in operation and multi-view shape-from-texture and shape-from shading modules are expected to be incorporated. Unlike most systems for multi-sensor integration, which fuse all the information at one conceptual level, e.g., the surface level, the system under development uses two levels of data fusion, intra-process integration and inter-process integration. The paper discusses intra-process integration techniques for feature-based stereo and shape-from-texture algorithms. It also discusses a inter-process integration technique based on smooth models of surfaces. Examples are presented using camera acquired images.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Terrance E. Boult, Terrance E. Boult, Mark Moerdler, Mark Moerdler, "An Experimental System For The Integration Of Information From Stereo And Multiple Shape From Texture Algorithms", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942727; https://doi.org/10.1117/12.942727


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