Re-rendering from a Sparse Set of Images
We present a method to accomplish photorealistic rendering of real-world
objects from their sparsely sampled appearance variation. Using
a 3D model and a small set of images of an object, we recover all
the necessary photometric information for subsequent rendering.
Unlike previous approaches, we require less input images and we
do not assume anything to be known about the three photometric attributes,
namely the diffuse and specular reflection parameters and the lighting
condition. ( with
Z. Zhang and K.
Ikeuchi)
Primary Reference
(TBA)
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