C. Zeller. Calibration projective, affine et euclidienne en vision par ordinateur et application la perception tridimensionnelle. Thse de doctorat, cole Polytechnique, 1996.  Home/Search Document Not in Database Summary Related Articles Check |
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Estimation And Segmentation Of A Dense Disparity.. - Rziza, Tamtaoui.. (2000) (Correct)
.... and edge points) Our algorithm is divided in two steps: The first step consists in extracting interest points by the detector of Harris and Stephens[5] then in matching them by a bi directional correlation technique including a step of relaxation in order to eliminate the aberrant matching points [10]. This technique provides a sparse disparity map. Au second step is introduced for densification of disparity map by using the edge points. 3 2 Constrained Dynamic Programming After extracting and matching interest points [5] 10] we can match two conjugated epipolar lines D g and D d globally ....
....of relaxation in order to eliminate the aberrant matching points [10] This technique provides a sparse disparity map. Au second step is introduced for densification of disparity map by using the edge points. 3 2 Constrained Dynamic Programming After extracting and matching interest points [5][10], we can match two conjugated epipolar lines D g and D d globally (see figure 2) For that, we have arranged the signals on the left and the right epipolar lines in two array axis. Figure 2. dynamic programming constrained by interest points. We have associated a cost function to this array. ....
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Zeller C., Projective, affine et euclidienne en vision par ordinateur et application a la perception tridimensionnelle. Thse de l'cole polytechnique. 1996.
Dense Disparity Map Estimation Using CUMULANTS - Rziza, Aboutajdine (2001) (Correct)
....line. The main problem of this approach consists in the choice of the cost function and also in saving the inter line consistency. In order to achieve inter line consistency we have used interest points to further constrain the possible paths [13] After extracting and matching interest point [7][15] they are used to define forbidden zone in the search plane : The path is constrained to contain points B and C representing the couples of homologous interest points (b d ,b g ) and (c d ,c g ) Assuming that the order constraint is verified, the correspondents of points between c d and d d are ....
Zeller C., Projective, affine et euclidienne en vision par ordinateur et application a la perception tridimensionnelle. Thse de l'cole polytechnique de Grenoble 1996.
Some Issues on Self-Calibration and Critical Motion Sequences - Pollefeys, Van Gool (2000) (Correct)
....In this case one obtains the Kruppa equations [15] see Figure 2) A 9 # B CA 9 # B D 9 D 9 (4) with D 9 the fundamental matrix for views and E and A 9 the corresponding epipole. In this case only 2 (in stead of 5) independent equations can be obtained [34]. In fact restricting the self calibration constraints to the epipolar geometry is equivalent to the elimination of the position of infinity from the equations. The result is that some artificial degeneracies are created (see [32] C C l l l i i 1 2 P W e i j j e L oo l L ....
....was shown in [24] The more flexible self calibration method which allows varying intrinsic camera parameters [28] is also based on this equation. The first self calibration method was proposed by Faugeras et al. 5] based on the Kruppa equations (eq. 4) The approach was impoved over the years [17, 34]. An interesting feature of this self calibration technique is that no consistent projective reconstruction should be available, only pairwise epipolar calibration. This can be very useful is some cases where it is hard to relate all the images into a single projective frame. The price that is ....
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C. Zeller, Calibration projective, affine et Euclidienne en vision par ordinateur et application a la perception tridimensionnelle, Ph.D. Thesis, Ecole Polytechnique, France, 1996.
Scene Modeling Based on Constraint System Decomposition.. - Marta Wilczkowiak Gilles (2003) (Correct)
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C. Zeller. Calibration projective, affine et euclidienne en vision par ordinateur et application la perception tridimensionnelle. Thse de doctorat, cole Polytechnique, 1996.
New Disparity Map Estimation Using Higher Order Statistics - Rziza, Aboutajdine.. (Correct)
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Zeller C., Projective, affine et euclidienne en vision par ordinateur et application a la perception tridimensionnelle. Thse de l'cole polytechnique de Grenoble 1996.
Methods and Geometry for Plane-Based Self-Calibration - Gurdjos, Sturm (2003) (Correct)
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C. Zeller. Calibration projective, affine et euclidienne en vision par ordinateur et application la perception tridimensionnelle. PhD Thesis, cole Polytechnique, 1996.
Some Geometric Insight in Self-Calibration and Critical.. - Pollefeys, Van Gool (2000) (1 citation) (Correct)
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C. Zeller, Calibration projective, affine et Euclidienne en vision par ordinateur et application a la perception tridimensionnelle, Ph.D. Thesis, Ecole Polytechnique, France, 1996. 16
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