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Phase-differencing in stereo vision: solving the localisation problem

du Buf, J. M. H.; du Buf, J. M. H.; Tersic, K.; Rodrigues, J. M. F.; Rodrigues, J. M. F.

Complex Gabor filters with phases in quadrature are often used to model even- and odd-symmetric simple cells in the primary visual cortex. In stereo vision, the phase difference between the responses of the left and right views can be used to construct a disparity or depth map. Various constraints can be applied in order to construct smooth maps, but this leads to very imprecise depth transitions. In this theor...


Fast and accurate multi-scale keypoints based on end-stopped cells

Tersic, K.; Rodrigues, J. M. F.; du Buf, J. M. H.

Increasingly more applications in computer vision employ interest points. Algorithms like SIFT and SURF are all based on partial derivatives of images smoothed with Gaussian filter kemels. These algorithrns are fast and therefore very popular.


A disparity energy model improved by line, edge and keypoint correspondences

Martins, J. C.; Farrajota, Miguel; Lam, Roberto Célio Lau; Rodrigues, J. M. F.; Tersic, K.; du Buf, J. M. H.

Disparity energy models (DEMs) estimate local depth information on the basis ofVl complex cells. Our recent DEM (Martins et al, 2011 ISSPlT261-266) employs a population code. Once the population's cells have been trained with randorn-dot stereograms, it is applied at all retinotopic positions in the visual field. Despite producing good results in textured regions, the model needs to be made more precise, especi...


Multi-scale cortical keypoints for realtime hand tracking and gesture recognition

Farrajota, Miguel; Saleiro, Mário; Tersic, K.; Rodrigues, J. M. F.; du Buf, J. M. H.

Human-robot interaction is an interdisciplinary research area which aims at integrating human factors, cognitive psychology and robot technology. The ultimate goal is the development of social robots. These robots are expected to work in human environments, and to understand behavior of persons through gestures and body movements. In this paper we present a biological and realtime framework for detecting and tr...


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