This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
This paper presents a novel method for online and incremental appearance-based localization and mapping in a highly dynamic environment. Using position-invariant robust features (...
Motion stereo is to extract the 3-0 information of an object from images of a moving camera, using geometric relationships between corresponding points. This paper presents an acc...
We introduce a new image representation that encompasses both the general layout of groups of quantized local invariant descriptors as well as their relative frequency. A graph of...