DEPTH MAP UP-SAMPLING USING COST-VOLUME FILTERING

被引：0

作者：

Cho, Ji-Ho ^{[1
]}

Ikehata, Satoshi ^{[2
]}

Yoo, Hyunjin ^{[1
]}

Gelautz, Margrit ^{[1
]}

Aizawa, Kiyoharu ^{[2
]}

机构：

[1] Vienna Univ Technol, Vienna, Austria

[2] Univ Tokyo, Tokyo 1138654, Japan

来源：

2013 IEEE 11TH IVMSP WORKSHOP: 3D IMAGE/VIDEO TECHNOLOGIES AND APPLICATIONS (IVMSP 2013) | 2013年

基金：

奥地利科学基金会;

关键词：

Depth map super-resolution; cost-volume filtering; up-sampling;

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：

Depth maps captured by active sensors (e.g., ToF cameras and Kinect) typically suffer from poor spatial resolution, considerable amount of noise, and missing data. To overcome these problems, we propose a novel depth map up-sampling method which increases the resolution of the original depth map while effectively suppressing aliasing artifacts. Assuming that a registered high-resolution texture image is available, the cost-volume filtering framework is applied to this problem. Our experiments show that cost-volume filtering can generate the high-resolution depth map accurately and efficiently while preserving discontinuous object boundaries, which is often a challenge when various state-of-the-art algorithms are applied.

引用

页数：4