A pointwise smooth surface stereo reconstruction algorithm without correspondences

Type of content
Journal Article
Thesis discipline
Degree name
University of Canterbury. Electrical and Computer Engineering
University of Canterbury. Mechanical Engineering
Journal Title
Journal ISSN
Volume Title
Brown, R.G.
Chase, Geoff
Hann, C.E.

This paper describes an algorithm for 3D reconstruction of a smooth surface with a relatively dense set of self-similar point features from two calibrated views. We bypass the usual correspondence problem by triangulating a point in space from all pairs of features satisfying the epipolar constraint. The surface is then extracted from the resulting point cloud by taking advantage of the statistical and geometric properties of the point distribution on the surface. Results are presented for computer simulations and for a laboratory experiment on a silicon gel phantom used in a breast cancer screening project.

Brown, R.G., Chase, J.G., Hann, C.E. (2012) A pointwise smooth surface stereo reconstruction algorithm without correspondences. Image and Vision Computing, 30(9), pp. 619-629.
stereo vision, photogrammetry, 3D reconstruction, medical applications
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Fields of Research::46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing
Field of Research::08 - Information and Computing Sciences::0802 - Computation Theory and Mathematics::080201 - Analysis of Algorithms and Complexity
Fields of Research::32 - Biomedical and clinical sciences::3211 - Oncology and carcinogenesis::321199 - Oncology and carcinogenesis not elsewhere classified