We present a recognition-driven navigation system for large-scale 3D virtual environments. The proposed system contains three parts, virtual environment reconstruction, feature da...
In low-resolution images, people at large distance appear very small and we may be interested in detecting the subject’s face for recognition or analysis. However, recent face de...
Symmetry is one of the important cues for human and machine perception of the world. For over three decades, automatic symmetry detection from images/patterns has been a standing ...
Minwoo Park, Seungkyu Lee, Po-Chun Chen, Somesh Ka...
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...