Structure guided fusion for depth map inpainting
Pattern Recognition Letters
Noise modelling and uncertainty propagation for TOF sensors
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Guided depth enhancement via a fast marching method
Image and Vision Computing
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In this paper, we present a new method to enhance depth images captured by a time-of-flight (TOF) depth sensor spatially and temporally. In practice, depth images obtained from TOF depth sensors have critical problems, such as optical noise existence, unmatched boundaries, and temporal inconsistency. In this work, we improve depth quality by performing a newly-designed joint bilateral filtering, color segmentation-based boundary refinement, and motion estimation-based temporal consistency. Experimental results show that the proposed method significantly minimizes the inherent problems of the depth images so that we can use them to generate a dynamic and realistic 3D scene.