2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper ID3D-4.11
Paper Title MESH COMPLETION WITH VIRTUAL SCANS
Authors Kunyao Chen, Fei Yin, Baichuan Wu, Bang Du, Truong Nguyen, University of California, San Diego, United States
Session3D-4: 3D Image and Video Processing
LocationArea J
Session Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Poster
Topic Three-Dimensional Image and Video Processing: Image and video processing augmented and virtual reality
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Abstract Meshes generated by range scanners are often incomplete and contain complex holes due to limited input coverage and occlusion. In this paper, we present an effective method to fill the gap regions on meshes by leveraging the templates inferred from the learning-based method. We first segment both source and template models into corresponding parts. Each part will be aligned with non-rigid deformation. We then modify the gap regions by “virtual” depth maps rendered using the aligned parts from newly selected viewpoints. Comparing with the template-based mesh completion approaches, our algorithm can generate natural appearances without any user interaction. Comparing with the state-of-the-art volumetric fusion methods, our approach supports selective blending, which only modifies the regions of interest and prevents bad template inference from impacting the source.