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Scene warping: Layer-based stereoscopic image resizing

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3 Author(s)
Ken-Yi Lee ; Nat. Taiwan Univ., Taipei, Taiwan ; Cheng-Da Chung ; Yung-Yu Chuang

This paper proposes scene warping, a layer-based stereoscopic image resizing method using image warping. The proposed method decomposes the input stereoscopic image pair into layers according to the depth and color information. A quad mesh is placed onto each layer to guide the image warping for resizing. The warped layers are composited by their depth orders to synthesize the resized stereoscopic image. We formulate an energy function to guide the warping for each layer so that the composited image avoids distortions and holes, maintains good stereoscopic properties and contains as many important pixels as possible in the reduced image space. The proposed method offers the advantages of less discontinuous artifacts, less-distorted objects, correct depth ordering and enhanced stereoscopic quality. Experiments show that our method compares favorably with existing methods.

Published in:

Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on

Date of Conference:

16-21 June 2012