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Coordinate difference homogenization matching method for motion correction in 3D range-intensity correlation laser imaging
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作者 Liang Sun Xinwei Wang +4 位作者 Pengdao Ren Pingshun Lei Songtao Fan Yan Zhou and Yuliang Liu 《Chinese Optics Letters》 SCIE EI CAS CSCD 2017年第10期95-98,共4页
This Letter proposes a coordinate difference homogenization matching method to solve motion influence in three-dimensional(3D) range-intensity correlation laser imaging. Firstly, features and feature pairs of gate i... This Letter proposes a coordinate difference homogenization matching method to solve motion influence in three-dimensional(3D) range-intensity correlation laser imaging. Firstly, features and feature pairs of gate images are obtained by speeded-up robust figures and bi-directional feature matching methods. The original mean value of the feature-pair coordinate differences is calculated. Comparing the coordinate differences with the original mean value, the wrong feature pairs are removed, and then an optimized mean value is updated. The final feature-pair coordinates are re-registered based on the updated mean value. Thus, an accurate transformation is established to rectify motion gate images for 3D reconstruction. In the experiment, a 3D image of a tower at 780 m is successfully captured by our laser gated imaging system on a pan-tilt device. 展开更多
关键词 Coordinate difference homogenization matching method for motion correction in 3d range-intensity correlation laser imaging CDH
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Adaptive luminance adjustment and neighborhood spreading strength information based view synthesis
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作者 Zhizhong Fu Xue Wang +2 位作者 Yuan Li Xiaohui Yang Jin Xu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第3期721-729,共9页
View synthesis is an important building block in three dimension(3D) video processing and communications.Based on one or several views,view synthesis creates other views for the purpose of view prediction(for compr... View synthesis is an important building block in three dimension(3D) video processing and communications.Based on one or several views,view synthesis creates other views for the purpose of view prediction(for compression) or view rendering(for multiview-display).The quality of view synthesis depends on how one fills the occlusion area as well as how the pixels are created.Consequently,luminance adjustment and hole filling are two key issues in view synthesis.In this paper,two views are used to produce an arbitrary virtual synthesized view.One view is merged into another view using a local luminance adjustment method,based on local neighborhood region for the calculation of adjustment coefficient.Moreover,a maximum neighborhood spreading strength hole filling method is presented to deal with the micro texture structure when the hole is being filled.For each pixel at the hole boundary,its neighborhood pixels with the maximum spreading strength direction are selected as candidates;and among them,the pixel with the maximum spreading strength is used to fill the hole from boundary to center.If there still exist disocclusion pixels after once scan,the filling process is repeated until all hole pixels are filled.Simulation results show that the proposed method is efficient,robust and achieves high performance in subjection and objection. 展开更多
关键词 view synthesis three dimension(3d multiview local luminance correction hole filling maximum spreading strength
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