We introduce a learning-based depth map fusion framework that accepts a ...
This paper addresses real-time dense 3D reconstruction for a
resource-co...
We present a new loss function for joint disparity and uncertainty estim...
We address the problem of estimating the shape of a person's head, defin...
Deep networks for stereo matching typically leverage 2D or 3D convolutio...
End-to-end deep networks represent the state of the art for stereo match...
Stereo matching is one of the longest-standing problems in computer visi...
Plane detection in 3D point clouds is a crucial pre-processing step for
...
Recently, there has been a paradigm shift in stereo matching with
learni...
The task of detecting the interest points in 3D meshes has typically bee...