2D to 3D convertion based on edge defocus and segmentation

This paper presents a depth estimation method which converts two-dimensional images into three-dimensional data. Based on two-dimensional wavelet analysis of Lipschitz regularity for defocus estimation on edges, this method can effectively eliminate the horizontal stripes in the depth map resulted from traditional one-dimensional wavelet based approaches. Besides, we also propose several techniques such as edge enhancement, color-based segmentation, and depth optimization to obtain a more reliable and smoother depth map. The experimental results demonstrate the effectiveness of our proposed techniques.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Ge Guo, Nan Zhang, Longshe Huo, Wen Gao
• Keywords: Depth Estimation Method, Depth Map, ICASSP 2008, Signal Processing, Two-dimensional Wavelet Analysis