Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
—We present a parameterized stereo vision core suitable for a wide range of FPGA targets and stereo vision applications. By enabling easy tuning of algorithm parameters, our syst...
We present a real-time algorithm to estimate the 3D
pose of a previously unseen face from a single range im-
age. Based on a novel shape signature to identify noses in
range ima...
Here are some calibrated stereograms (stereo images) used in the Syntim team to test our 3D vision algorithms. Calibration data are available, assuming a pin-hole camera model. Ple...
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
We revisit stereo matching functions, a topic that is considered
well understood, from a different angle. Our goal
is to discover a transformation that operates on the cost
or s...
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, ...