Analyzing perspective views of a wire frame object model

The problem of identifying three dimensional objects from their two dimensional perspective projections is an important one in computer vision. A segmentation procedure is described here to extract features from a simulated image, then a matching procedure which finds the three dimensional objects in the picture is discussed. An image: a photograph taken by a camera with fixed focal length, is given, and a three dimensional wire frame object model is also given. Each object in the model is composed of planar arcs. The arc is bounded by connected line segments or conics. The input image is a simulated photographs of some objects of our model, the problem is to identify what these objects are. The two dimensional data structure we derived from image are equations of each planar arc. The data stored in the database are equations of the boundary pieces of the three dimensional object. Our aim is to find the match between the given three dimensional data structure and the two dimensional data structure. The method used here is a numerical analysis nonlinear optimization.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Computer Science

Department dc:contributor.department

Computer Science

Grantor dc:publisher

Virginia Polytechnic Institute and State University

Year dc:date.issued

1983

Author dc:creator

• Chu, Yu Hong

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/10919/106322

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/106322