Temporal and Spatial Denoising of Depth Maps
AbstractThis work presents a procedure for refining depth maps acquired using RGB-D (depth) cameras. With numerous new structured-light RGB-D cameras, acquiring high-resolution depth maps has become easy. However, there are problems such as undesired occlusion, inaccurate depth values, and temporal variation of pixel values when using these cameras. In this paper, a proposed method based on an exemplar-based inpainting method is proposed to remove artefacts in depth maps obtained using RGB-D cameras. Exemplar-based inpainting has been used to repair an object-removed image. The concept underlying this inpainting method is similar to that underlying the procedure for padding the occlusions in the depth data obtained using RGB-D cameras. Therefore, our proposed method enhances and modifies the inpainting method for application in and the refinement of RGB-D depth data image quality. For evaluating the experimental results of the proposed method, our proposed method was tested on the Tsukuba Stereo Dataset, which contains a 3D video with the ground truths of depth maps, occlusion maps, RGB images, the peak signal-to-noise ratio, and the computational time as the evaluation metrics. Moreover, a set of self-recorded RGB-D depth maps and their refined versions are presented to show the effectiveness of the proposed method. View Full-Text
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Lin, B.-S.; Su, M.-J.; Cheng, P.-H.; Tseng, P.-J.; Chen, S.-J. Temporal and Spatial Denoising of Depth Maps. Sensors 2015, 15, 18506-18525.
Lin B-S, Su M-J, Cheng P-H, Tseng P-J, Chen S-J. Temporal and Spatial Denoising of Depth Maps. Sensors. 2015; 15(8):18506-18525.Chicago/Turabian Style
Lin, Bor-Shing; Su, Mei-Ju; Cheng, Po-Hsun; Tseng, Po-Jui; Chen, Sao-Jie. 2015. "Temporal and Spatial Denoising of Depth Maps." Sensors 15, no. 8: 18506-18525.