Advances On Integration Between Stereo Sparse Data And Orientation Map
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During last years, Computer Vision has developed algorithms for most of early vision processes. It is a common idea that each vision process seaparatly cannot supply a reliable descritpion of the scene. In fact, one of the keys in reliability and robustness of biological systems is their ability to integrate information from different early processes. The base concept of our vision system is to integrate information from stereo and shading (Fig.1). The results obtained from this scheme in previous works are very interesting and suggest us to continue on this methodology. In the first work 1.2 the base approach to integration scheme was presented. The work deals on general concepts and main evolutions on shading analysis, in terms of analysis simplifications and improved accuracy. The scheme was tested on both synthetical and real scenes.
[1] Maria Teresa Chiaradia,et al. 3D Surface Reconstruction Using Orientation Map And Sparse Depth Map Information , 1988, Other Conferences.
[2] Giovanni Attolico,et al. Dense Depth Map Reconstruction Using Special Purpose Hardware , 1989, Other Conferences.