A novel refocusing distance measurement method using super‐resolved light field images. (2nd May 2018)

• Record Type: Journal Article
• Authors: Zhao, Mandan; Hao, Xiangyang
• Is Part Of: Computer animation and virtual worlds. Volume 29:Number 3/4(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-05-02
• Subjects: depth information -- focus ranging -- light‐field refocus -- 3D measurement; Computer animation -- Periodicals; Visualization -- Periodicals; 006.6
• DOI: 10.1002/cav.1828
• Languages: English
• ISSNs: 1546-4261

Abstract

Abstract: This paper proposes a novel distance measurement method using superresolved light‐field images. We first superresolve the light field using the hybrid cross‐resolution input based on PatchMatch and convolutional neural network method, which combines and takes advantage of these two methods. In this way, we can explore the similarity between images and deal with challenging scenes effectively. The scaling factor is up to eight times, which is much larger than the ordinary superresolution scaling factor, and our superresolution method can also maintain a satisfactory accuracy. With the traditional idea of focus ranging, the light‐field 3D measurement method is established. A proper definition evaluation function suitable for light‐field data is selected to evaluate the imaging quality, and the triangle barycenter interpolation method is proposed to measure 3D scenes. Experimental results demonstrate that the proposed method not only improves the quality of the reconstructed high‐resolution light field but also has the ability of the distance measurement. It indicates that the light‐field imaging is a promising 3D measurement technique. Abstract : This paper proposes a novel distance measurement method using super‐resolved light‐field images. We first super‐resolve the light field using the hybrid cross‐resolution input based on Patch‐Match and CNN method. And then, with the traditional idea of focusing ranging, the light field 3D measurement method is established.