—Three-dimensional shape matching is a fundamental issue in computer vision with many applications such as shape registration, 3D object recognition, and classification. However,...
Sen Wang, Yang Wang, Miao Jin, Xianfeng David Gu, ...
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...