Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2097
Título: Disparity energy model with keypoint disparity validation
Autor: Farrajota, Miguel
Martins, J. C.
Rodrigues, J. M. F.
du Buf, J. M. H.
Palavras-chave: Visão humana
Data: Out-2011
Citação: Miguel Farrajota; Martins, J.C.; Rodrigues, J.M.F.; du Buf, J.M.H. Disparity energy model with keypoint disparity validation, Trabalho apresentado em Portuguese Conf. on Pattern Recognition, In Proc. 17th Portuguese Conf. on Pattern Recognition, Porto, Portugal, 28 Oct., Porto, 2011
Resumo: A biological disparity energy model can estimate local depth information by using a population of V1 complex cells. Instead of applying an analytical model which explicitly involves cell parameters like spatial frequency, orientation, binocular phase and position difference, we developed a model which only involves the cells’ responses, such that disparity can be extracted from a population code, using only a set of previously trained cells with random-dot stereograms of uniform disparity. Despite good results in smooth regions, the model needs complementary processing, notably at depth transitions. We therefore introduce a new model to extract disparity at keypoints such as edge junctions, line endings and points with large curvature. Responses of end-stopped cells serve to detect keypoints, and those of simple cells are used to detect orientations of their underlying line and edge structures. Annotated keypoints are then used in the leftright matching process, with a hierarchical, multi-scale tree structure and a saliency map to segregate disparity. By combining both models we can (re)define depth transitions and regions where the disparity energy model is less accurate.
URI: http://hdl.handle.net/10400.1/2097
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