Multi-View Stereo Reconstruction with High Dynamic Range Texture

Abstract

AbstractIn traditional 3D model reconstruction, the texture information is captured in a certain dynamic range, which is usually insufficient for rendering under new environmental light. This paper proposes a novel approach for multi-view stereo (MVS) reconstruction of models with high dynamic range (HDR) texture. In the proposed approach, multi-view images are firstly taken with different exposure times simultaneously. Corresponding pixels in adjacent viewpoints are then extracted using a multi-projection method, to robustly recover the response function of the camera. With the response function, pixel values in the differently exposed images can be converted to the desired relative radiance values. Subsequently, geometry reconstruction and HDR texture recovering can be achieved using these values. Experimental results demonstrate that our method can recover the HDR texture for the 3D model efficiently while keep high geometry precision. With our reconstructed HDR texture model, high-quality scene re-lighting is exemplarily exhibited.KeywordsVisual HullHigh Dynamic Range ImageGeometry ReconstructionCamera Response FunctionCamera ResponseThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.