Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Machine Vision and Applications
Inferring Surface Trace and Differential Structure from 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-plus-one-dimensional differential geometry
VIP '94 The international conference on volume image processing on Volume image processing
Hierarchical shape representation using locally adaptive finite elements
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Object-centered surface reconstruction: combining multi-image stereo and shading
International Journal of Computer Vision
Intelligent scissors for image composition
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Taking advantage of image-based and geometry-based constraints to recover 3-D surfaces
Computer Vision and Image Understanding
New Prospects in Line Detection by Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
ACM Transactions on Mathematical Software (TOMS)
Shape and Nonrigid Motion Estimation Through Physics-Based Synthesis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Imposing Hard Constraints on Soft Snakes
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Global Minimum for Active Contour Models: A Minimal Path Approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Estimating the tensor of curvature of a surface from a polyhedral approximation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Terrain Analysis Using Radar Shape-from-Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In building a 3-D model of the environment from image and sensordata, one must fit to the data an appropriate class of models, which can beregarded as a parametrized manifold, or geometric model,defined in the data space. In this paper, we present ...