Feature correspondence and localization of 3D objects using range images

Author

Kaveti, Satish ; Teoh, Eam Khwang ; Wang, Han

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore

Volume

4

fYear

1995

fDate

22-25 Oct 1995

Firstpage

3555

Abstract

In this paper, we have described an approach for segmentation, recognition and pose estimation of 3D objects using range images. The surfaces are represented using second degree implicit polynomials from which we obtain view-invariant feature attributes and orientation of the patch. For recognition we use of invariant geometric constraints between the different surface patches, which helps in reducing the search space. We have also described an approach to obtain Euclidean invariants and orientation of surfaces described using higher degree implicit polynomials

Keywords

computational geometry; feature extraction; image matching; image representation; image segmentation; object recognition; polynomials; search problems; stereo image processing; 3D object recognition; Euclidean invariants; Euclidean orientation; feature correspondence; feature localization; invariant geometric constraints; polynomials; pose estimation; range images; search space; segmentation; surface patches; view-invariant feature attributes; Feature extraction; Image segmentation; Indexing; Layout; Least squares methods; Libraries; Object recognition; Polynomials; Space technology; Surface fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538338

Filename

538338