Image-based rendering of range data with estimated depth uncertainty
Christian Hofsetz, K. T. Ng, Guangsheng Chen, Peter McGuinness, Nelson Max, Y. Liu · IEEE Computer Graphics and Applications · 2004
Image-based rendering (IBR) involves constructing an image from a new viewpoint, using several input images from different viewpoints. Our approach is to acquire or estimate the depth for each pixel of each input image. We then reconstruct the new view from the resulting collection of 3D points. When rendering images from photographs, acquiring and registering data is far from perfect. Accuracy can fluctuate, depending on the choice of geometry reconstruction technique. Our image-rendering approach involves three steps: depth extraction, uncertainty estimation, and rendering. That is, we first compute a depth map for every input image. Then we calculate the uncertainty information using the estimated depth maps as starting points. Finally, we perform the actual rendering, which renders the uncertainty estimated in the previous step as ellipsoidal Gaussian splats.