Title

From shape from shading to object recognition

Abstract

Recognition of objects is one of the main goals of computer vision. Several approaches have been proposed to solve this problem using 3-D shape. In most of them it is assumed that 3-D shape ( depth map) is available. Several object recognition systems use range images to extract 3-D shape. We present a method that uses a shape from shading algorithm to perform 3-D object recognition for simple objects. This method extracts the 3-D information from a single intensity image, then segments the object into regions. After computing the properties of the regions, it compares the input object with the model objects in the database. To test our method, several images with slightly different viewing angles of single objects are matched against five models in the database.

Notes

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Thesis Completion

1994

Semester

Spring

Advisor

Mohapatra, Ram N.

Degree

Bachelor of Science (B.S.)

College

College of Arts and Sciences

Degree Program

Computer Science

Subjects

Arts and Sciences -- Dissertations, Academic;Dissertations, Academic -- Arts and Sciences

Format

Print

Identifier

DP0021427

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

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