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연구 분야
프로젝트
논문
구성원
article|
인용수 11
·2022
TextureMe: High-Quality Textured Scene Reconstruction in Real Time
Jungeon Kim, Hyomin Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee
IF 9.5ACM Transactions on Graphics
초록

Three-dimensional (3D) reconstruction using an RGB-D camera has been widely adopted for realistic content creation. However, high-quality texture mapping onto the reconstructed geometry is often treated as an offline step that should run after geometric reconstruction. In this article, we propose TextureMe , a novel approach that jointly recovers 3D surface geometry and high-quality texture in real time. The key idea is to create triangular texture patches that correspond to zero-crossing triangles of truncated signed distance function (TSDF) progressively in a global texture atlas. Our approach integrates color details into the texture patches in parallel with the depth map integration to a TSDF. It also actively updates a pool of texture patches to adapt TSDF changes and minimizes misalignment artifacts that occur due to camera drift and image distortion. Our global texture atlas representation is fully compatible with conventional texture mapping. As a result, our approach produces high-quality textures without utilizing additional texture map optimization, mesh parameterization, or heavy post-processing. High-quality scenes produced by our real-time approach are even comparable to the results from state-of-the-art methods that run offline.

키워드
Projective texture mappingComputer visionBidirectional texture functionTexture mappingArtificial intelligenceComputer scienceTexture atlasTexture compressionRGB color modelTexture filtering
타입
article
IF / 인용수
9.5 / 11
게재 연도
2022