Principal Depth Estimation Using Cost-Volume Filtering for Fast Stereo Matching

被引：0
|
作者：
Lim, Jaeseung [1 ]
Park, Jinho [1 ]
Park, Hasil [1 ]
Kim, Heegwang [1 ]
Paik, Joonki [1 ]
机构：
[1] Chung Ang Univ, Grad Sch Adv Imaging Sci Multimedia & Film, Dept Image, Image Proc & Intelligent Syst Lab, Seoul 06974, South Korea
来源：
2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC) | 2018年
关键词：
Stereo matching; Cost-volume filtering; guided filter; ADAS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an effective method to reduce computational cost of Cost-volume filtering for stereo matching. We first obtain initial depth values by using pixel-wise cost volume and estimate principal depth values for reducing computational cost. The proposed method can be applied to advanced driver assistance system, object recognition, and other algorithms that require 3-D depth information.
引用
收藏
页码：431 / 432
页数：2
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