Road vanishing point detection using weber adaptive local filter and salient-block-wise weighted soft voting

• Published in: IET computer vision Vol. 10; no. 6; pp. 503 - 512
• Main Authors: Fan, Xue, Shin, Hyunchul
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.09.2016; Wiley
• Subjects: adaptive filters; Background noise; Computation; computational complexity; image texture; Orientation; pixel wise texture orientation estimation; pixel-wise texture orientations; pixel-wise voting scheme; Research Article; road edges; road trails; road vanishing point detection; Roads; salient-block-wise weighted soft voting; Surface layer; Texture; texture-based methods; traffic engineering computing; vanishing point detection; Voting; voting map generation; weber adaptive local filter; Workload; adaptive filters; pixel-wise voting scheme; roads; pixel wise texture orientation estimation; traffic engineering computing; weber adaptive local filter; pixel-wise texture orientations; road trails; road edges; vanishing point detection; image texture; salient-block-wise weighted soft voting; voting map generation; texture-based methods; road vanishing point detection; computational complexity

In this study, a novel and efficient technique is proposed for road vanishing point detection in challenging scenes. Currently, most existing texture-based methods detect the vanishing point using pixel wise texture orientation estimation and voting map generation, which suffers from high computatio...