Depth from defocus and blur for single image | IEEE Conference Publication | IEEE Xplore

Depth from defocus and blur for single image


Abstract:

Depth for single image is a hot problem in computer vision, which is very important to 2D/3D image conversion. Generally, depth of the object in the scene varies with the...Show More

Abstract:

Depth for single image is a hot problem in computer vision, which is very important to 2D/3D image conversion. Generally, depth of the object in the scene varies with the amount of blur in the defocus images. So, depth in the scene can be recovered by measuring the blur. In this paper, a new method for depth estimation based on focus/defocus cue is presented, where the entropy of high frequency subband of wavelet decomposition is regarded as the measure of blur. The proposed method, which is unnecessary to select threshold, can provide pixel-level depth map. The experimental results show that this method is effective and reliable.
Date of Conference: 17-20 November 2013
Date Added to IEEE Xplore: 09 January 2014
ISBN Information:
Conference Location: Kuching, Malaysia

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