23 June 1993 Energy-based methods for 2D curve tracking, reconstruction, and refinement of 3D curves and applications
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Deformable contours, based on energy minimization, have been widely used for tracking purposes. This paper proposes a novel type of constraint for the energy minimization problem: the use of motion models. Such an approach greatly reduces the sliding effects occurring during tracking: thus tracking provides point-to-point correspondence between the tracked B- spline based curves and reliably estimates their apparent motion. For a calibrated camera system, the stereo correspondences provided by this matching method can be used to reconstruct a 3-D curve point by point. This set of 3-D points is then approximated and refined by a 3-D deformable curve, in order to improve consistency with image observations. Furthermore, the bases of this tracking approach, i.e., B-splines and the estimation of 2-D motion models, provide an efficient way of estimating time-to-collision, and recovering the spatio-temporal surface of a moving contour, which has been proven to supply valuable information about its 3-D structure and motion. A large set of experimental results illustrates the different parts of this work.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benedicte Bascle, Benedicte Bascle, Rachid Deriche, Rachid Deriche, } "Energy-based methods for 2D curve tracking, reconstruction, and refinement of 3D curves and applications", Proc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993); doi: 10.1117/12.146633; https://doi.org/10.1117/12.146633


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