A linear dual-space approach to 3D surface reconstruction from occluding contours using algebraic surfaces

Proceedings of the IEEE International Conference on Computer Vision

Volumn 1, Issue , 2001, Pages 198-204

  Kang, K ^a   Tarel, J P ^a   Fishman, R ^a   Cooper, D ^a  

^a Brown University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; CURVE FITTING; EIGENVALUES AND EIGENFUNCTIONS; LAGRANGE MULTIPLIERS; NUMERICAL METHODS; POLYNOMIALS; THREE DIMENSIONAL; VECTORS;

ALGEBRAIC SURFACES; DUALITY PROPERTY; LINEAR DUAL SPACE APPROACH; THREE DIMENSIONAL SURFACE RECONSTRUCTION;

IMAGE RECONSTRUCTION;

EID: 0034849795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Motion estimation in image sequences using the deformation of apparent contours
2. Parallax geometry of smooth surfaces in multiple views
3. Quadric surface reconstruction from dual-space geometry
4. Recognizing algebraic surfaces from their outlines
5. Reconstructions of surfaces from profiles
6. Ellipsoid reconstruction from three perspective views
7. Camera pose estimation and reconstruction from image profiles under circular motion
8. Duals, invariants, and the recognition of smooth objects from their occluding contour
9. Automatic model construction and pose estimation from photographs using triangular splines
10. Robust shape recovery from occluding contours using a linear smoother
11. Improving the stability of algebraic curves for applications
12. Estimation of planar curves, surfaces and nonplanar space curves defined by implicit equations, with applications to edge and range image segmentation