Vanishing point detection by line clustering

Author

McLean, G.F. ; Kotturi, D.

Author_Institution

Dept. of Mech. Eng., Victoria Univ., BC, Canada

Volume

17

Issue

11

fYear

1995

fDate

11/1/1995 12:00:00 AM

Firstpage

1090

Lastpage

1095

Abstract

This paper presents a new method for the detection of vanishing points based on sub-pixel line descriptions which recognizes the existence of errors in feature detection and which does not rely on supervision or the arbitrary specification of thresholds. Image processing and image analysis are integrated into a coherent scheme which extracts straight line structure from images, develops a measure of line quality for each line, estimates the number of vanishing points and their approximate orientations, and then computes optimal vanishing point estimates through combined clustering and numerical optimization. Both qualitative and quantitative evaluation of the algorithms performance is included in the presentation

Keywords

edge detection; feature extraction; image processing; optimisation; clustering; feature detection; image analysis; image processing; line clustering; line quality; optimization; sub-pixel line descriptions; vanishing point detection; Active contours; Computer graphics; Computer vision; Deformable models; Image generation; Machine intelligence; Noise shaping; Phase detection; Pixel; Shape;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.473236

Filename

473236