Fast 3D Image Depth Map Estimation Using Wavelet Analysis
This paper is to propose a method for depth estimation in a 2D image using wavelet analysis. According to our observations, the high frequency components represent focused objects in images of limited depth of field (DOF) and their high frequency wavelet subbands contain high energy. In our approach, each image is first transformed to YUV domain and the Y component is extracted for further analysis. Afterwards, the high frequency bands are derived with wavelet analysis. Through two stages of smoothing and scale manipulation, the depth map data with less error can be used for some 3D display. The experimental result shows that the proposed approach is effective and efficient for depth map estimation.
Yu-Hong Lin Te-Wei Chiang Tienwei Tsai Mann-Jung Hsiao
Dept. of Multimedia Design, Chihlee Institute of Technology Dept. of Accounting Information Systems, Chihlee Institute of Technology Dept. of Information Management, Chihlee Institute of Technology Dept. of Computer Science and Engineering, Tatung University
国际会议
上海
英文
1160-1163
2010-11-23（万方平台首次上网日期，不代表论文的发表时间）