Object detection is challenging partly due to the limited discriminative power of local feature descriptors. We amend this limitation by incorporating spatial constraints among ne...
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Multi-view stereo (MVS) algorithms now produce reconstructions
that rival laser range scanner accuracy. However,
stereo algorithms require textured surfaces, and therefore
work ...
Brian Curless, Richard Szeliski, Steven M. Seitz, ...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Multimedia projectors and cameras make possible the use of structured light to solve problems such as 3D reconstruction, disparity map computation and camera or projector calibrat...