Document Type

Thesis

Date of Award

1-31-1993

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

David T. Wang

Abstract

The unified optical flow field (UOFF) theory which can be used for estimating motion and recovering surface structure was recently established in [9, 10]. The direct method developed in [2, 3, 4, 6, 7] does not need to explicitly solve the optical flow field and to find feature correspondence. Based on the UOFF, a direct method in space domain is developed to reconstruct the curved surface structure characterized by an Nth degree polynomial equation from a pair of stereo images. The initial work on this new method was reported in [8, 11].

In this study, I basically work on simulation images characterized by a 2nd degree polynomial equation. The main difference from the simulation results obtained in [8, 11], is that each object image in the pair of stereo images is formed from a set of images, which is referred to as the composite image. The gray levels in real images taken with general CCD cameras usually range from 0 to 255, since most of CCD camera systems are 8-bit in quantization resolution. This gray level range is too narrow to use the direct method in space domain to recover surface structure. However, with the Composite Image, it is possible to build a system with the current technology in the solid state industry, which is described in this thesis, to recover curved surface structures from real image sequences.

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