Depth Estimation from a Monocular Outdoor Image

被引：0

作者：

Kuo, Tien-Ying ^{[1
]}

Lo, Yi-Chung ^{[1
]}

Lai, Yun-Yang ^{[1
]}

机构：

[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan

来源：

IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE 2011) | 2011年

关键词：

3D image; depth estimation; image segmentation; dark channel;

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：

We present an algorithm to estimate 3D depth from a single monocular outdoor image based on the multi-resolution analysis of the various cues including edge, hue, saturation, vertical depth prior, and dark channel prior. Our experimental results show a huge amount of computational savings over literature work while keeping our depth map close to the ground truth.

引用

页码：161 / 162

页数：2

共 8 条

[1] Ashutosh Saxena A.Y. N., 2007, International Journal of Computer Vision (IJCV)
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[3] Vanishing point detection: Representation analysis and new approaches
Cantoni, V
Lombardi, L
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[J]. 11TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, 2001, : 90 - 94
[4] Chao-Chung Cheng, 2010, 2010 IEEE International Conference on Consumer Electronics (ICCE 2010), P377, DOI 10.1109/ICCE.2010.5418746
[5] He KM, 2009, PROC CVPR IEEE, P1956, DOI [10.1109/CVPR.2009.5206515, 10.1109/CVPRW.2009.5206515]
[6] SAXENA A, 2007, ICCV WORKSH 3D REPR
[7] Saxena A., 2005, NEURAL INFORM PROCES, V18
[8] Saxena Ashutosh, 2007, ICCV WORKSH VIRT REP

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