Ms. Shaojie Ren Profile

Shaojie Ren

at Univ of Science and Technology Beijing

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Proceedings Article | 6 May 2019 Paper

Depth estimation via light field camera with a hybrid stereo matching method

Shaojie Ren, Chunhong Wu, Mingxin Sun, Dongmei Fu

Proceedings Volume 11069, 1106931 (2019) https://doi.org/10.1117/12.2524413

KEYWORDS: Image segmentation, Cameras, Silicon, Distributed interactive simulations, Image analysis, Digital filtering, Image resolution, Environmental sensing, Principal component analysis, Image processing

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Light field camera has the ability to capture ray’s position and direction information through a single shot. The multiview images generated from the light field image provides unique advantage for depth estimation. In this paper, a method for 4D light field depth estimation was proposed by exploiting a hybrid stereo matching method with multidirectional multi-baseline stereo matching and K-Means segmentation. The multi-baseline stereo matching is adopted to effectively utilize the information among multiple low resolution sub-images. The multi-directional consistency checking is used to identify the fallible matching results due to occlusion or lack of texture. The K-Means segmentation method is used for locate the object boundary and hence ensure that the match window lies within a same object. A weighted median filtering method is adopted to further increase the quality of the disparity map. The experiment verifies the effectiveness of the method used. We evaluated the performance of our method on a publicly available dataset. Result shows that the proposed method can achieve a competitive result with a reasonable running time.

Proceedings Article | 6 May 2019 Paper

360x180 stereoscopic panoramas from static light field capturing

Kai Wang, Chunhong Wu, Shaojie Ren, Feng Xiao, Yunluo Liu

Proceedings Volume 11069, 1106938 (2019) https://doi.org/10.1117/12.2524410

KEYWORDS: Cameras, Panoramic photography, Spherical lenses, Image fusion, Eye, Optical flow, Image processing, Optical spheres, Imaging systems, Calibration

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With the increasing demand in visual experience, visual effects with good immersion and stereoscopic sense have become one of the research hotpots in computer vision and computer graphics. This paper presents a stereoscopic panoramic image generation method based on static light field capture. The work can be divided into two parts: the acquisition of the static light field and the stereoscopic panoramic image generation. The light field data is recorded by two mutually perpendicular cameras rotated around a fixed axis. The two cameras capture images with every 9 rotating degrees and a total of 40x2 images were obtained after spin a circle. Both two cameras are calibrated and the recorded images are re-projected to a spherical surface. The optical flow information was calculated from the overlapping part of the spherical projection using a block matching method based on pyramid model. As a result, the light filed information which contains texture and disparity information is acquired based on the spherical expression. On the basis of the above work, the stereoscopic panoramic images under the new viewpoints were then resampled densely based on a pixel level from the obtained light field. A Poisson blending algorithm is used afterward to fuse the image strips from different perspectives and eliminate the brightness difference between those different strips. The high quality stereoscopic panoramic images with an 8k resolution were achieved in the end. Compared with the commonly used panoramic image generating method, our method has the advantages of low cost, simple operation, and high automation. More importantly, it can generate stereoscopic panoramic images containing parallax information with the vertical 180 degrees of view.

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