Paper Info
Title
Hybrid plane fitting for depth estimation
Abstract
In this paper, a novel plane fitting algorithm with low complexity and high accuracy is proposed to refine the depth maps generated by stereo matching. We first compute the confidence coefficient for each pixel in the depth map by cross checking and stable pixel calculation. According to the outlier pixel percentage for each segment, we choose one method, either proposed weighted least square error based or RANSAC based plane fitting algorithm, to estimate the plane parameters. Experimental results show that our method outperforms other existing plane fitting algorithms.
Year
Venue
Keywords
2012
APSIPA
depth map,plane fitting algorithm,hybrid plane fitting,depth estimation,image matching,stereo matching,weighted least square error,least squares approximations,ransac,stereo image processing
Field
DocType
ISSN
Stereo matching,Computer vision,Image matching,RANSAC,Plane fitting,Outlier,Artificial intelligence,Pixel,Least square error,Depth map,Mathematics
Conference
2309-9402
ISBN
Citations 
PageRank 
978-1-4673-4863-8
5
0.47
References 
Authors
10
5
Name
Order
Citations
PageRank
Lingfeng Xu1539.81
Oscar C. Au21592176.54
Wenxiu Sun316020.79
Yujun Li410418.20
Jiali Li5499.29