Document Type
Thesis
Date of Award
5-31-1991
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Yun Q. Shi
Second Advisor
Edwin Hou
Third Advisor
C. Q. Shu
Abstract
The research work reported in the thesis is motivated by the problem raised in the computer vision area. It utilizes direct method to recover surface structure of objects in 3-D space from a pair of stereo images. The direct method, compared with optical flow-based approach and feature-based approach, is robust and computationally efficient. However it can only recover planar surface structure so far. A new approach to recover structure from a pair of stereo images based on unified optical flow field (UOFF) is developed recently. It can recover curved surface structure.
In this thesis, the problem of recovering surface structure of composite objects has been studied. That is, the surface is characterized by a factorable polynomial equation. Furthermore, instead of surfaces having finite large area (finite components in size), the infinite large surfaces (infinite components in size) are considered. The successful simulation results are presented. They show that the new approach is capable of recovering composite structure.
Recommended Citation
Huang, Zhesheng, "Direct recovering of composite surface using UOFF" (1991). Theses. 2502.
https://digitalcommons.njit.edu/theses/2502
