19 February 1988 3D Surface Reconstruction Using Orientation Map And Sparse Depth Map Information
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Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942761
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
This paper describes an approach to 3D surface reconstruction using orientation map and sparse depth map information. The approach integrates the information provided by two different sources: Stereo Vision and Local Shading Analysis. In our scheme the sparse depth map, obtained by stereo binocular technique, provides an estimate of surface shape that can be refined by local shading information (an orientation map), extracted from one of the stereo pairs intensity images. The integration process consists of two phases. In the first one, the scene is segmented in connected regions by means of the raw needle map. In the second one, the surface interpolation is obtained using information extracted from the segmentation process and the sparse depth map. The result of the integrated approach is a good quality dense depth map. The functionality of the whole approach has been tested on synthetical data. We are, now, analyzing the applicability to real data.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. T. Chiaradia, M. T. Chiaradia, A. Distante, A. Distante, E. Stella, E. Stella, } "3D Surface Reconstruction Using Orientation Map And Sparse Depth Map Information", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942761; https://doi.org/10.1117/12.942761
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