R.C.K. Chung and R. Nevatia. Use of monucular groupings and occlusion analysis in a hierarchical stereo system. Computer Vision and Image Understanding, 62(3):245{ 268, 1995. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
The Gestalt Principle Collinearity and the Multi-Modal.. - Krüger, Wörgötter (Correct)
.... are given in [22, 21] The most often ap plied and also the most dominant Gestalt principle in natural images is collinearity [7, 15] Collinearity can be exploited to achieve more robust feature extraction in different domains, such as, edge detection (see, e.g. 11, 12] or stereo estimation [5, 21]. In most applica tions in artificial visual systems, the relation between features, i.e. the applied Gestalt principle, has been defined heuristically. Mostly, explicit models of feature interaction have been applied, connected with the introduction of parameters to be estimated beforehand, a ....
R.C.K. Chung and R. Nevatia. Use of monucular group- ings and occlusion analysis in a hierarchical stereo system. CVPR, 1991.
Multi-modal Estimation of Collinearity and Parallelism in.. - Krüger, Wörgötter (2002) (2 citations) (Correct)
.... visual systems and also the most dominant Gestalt principle in the 2D projection of natural scenes is collinearity [14, 45, 21, 66] Collinearity can be exploited to achieve more robust feature extraction in di erent domains, such as edge detection (see, e.g. 25, 29, 36] or stereo estimation [11, 58]. In most applications of arti cial visual systems, the relation between features, i.e. the applied Gestalt principle, has been de ned heuristically, based on semantic characteristics such as orientation or curvature (e.g. two line segments are de ned to be collinear when they lie on a ....
R.C.K. Chung and R. Nevatia. Use of monucular groupings and occlusion analysis in a hierarchical stereo system. Computer Vision and Image Understanding, 62(3):245-268, 1995.
Multi-Modal Statistics of Edges in Natural Image Sequences - Krüger, Wörgötter (2002) (Correct)
.... are given in [14, 13] The most often applied and also the most dominant Gestalt principle in natural images is collinearity [3, 9] Collinearity can be exploited to achieve more robust feature extraction in di erent domains, such as, edge detection (see, e.g. 7, 8] or stereo estimation [2, 13]. In most applications in arti cial visual systems, the relation between features, i.e. the applied Gestalt principle, has been de ned heuristically based on semantic characteristics such as orientation or curvature. Mostly, explicit models of feature interaction have been applied, connected ....
R.C.K. Chung and R. Nevatia. Use of monucular groupings and occlusion analysis in a hierarchical stereo system. CVPR, 1991.
Different Degree of Genetical Prestructuring in the.. - Krüger, Wörgötter (2002) (Correct)
....gure 1e (right) In contrast to RBM, statistical relations between features cannot normally be described analytically. A lot of work has focused on the usage of these relations to achieve robust feature extraction in di erent domains, e.g. edge detection (see, e.g. 16] or stereo estimation ([7]) In most of these contributions the relation between features, i.e. the applied Gestalt principle, has so far been only heuristically de ned based on semantic characteristics such as orientation or curvature (e.g. two line segments are de ned to be collinear when they lie on a contour with ....
R.C.K. Chung and R. Nevatia. Use of monucular groupings and occlusion analysis in a hierarchical stereo system. CVPR, 1991.
Statistical and Deterministic Regularities: Utilisation of.. - Krüger, Wörgötter (2004) (Correct)
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R.C.K. Chung and R. Nevatia. Use of monucular groupings and occlusion analysis in a hierarchical stereo system. Computer Vision and Image Understanding, 62(3):245{ 268, 1995.
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