Optimized Method for Real-time Texture Reconstruction with RGB-D Camera

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With the appearance of RGB-D camera, the field of three-dimensional (3D) reconstruction receives more and more attention. In this paper, we present an optimization approach to produce high-quality textured 3D models based on the real-time 3D reconstruction system. The resulting models of real-time texture reconstruction often suffer from blurring, ghosting, and other artifacts. Our approach addresses this texture quality problem using blur detection and an optimized weight function. Experimental results demonstrate that our approach can improve the quality of textured 3D models by reducing the blur and ghosts on the model surface.