Yingmei Wei

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This paper presents a conceptually simple, and robust, yet highly effective, approach to both texture classification and material categorization. The proposed system is composed of three components: 1) local, highly discriminative, and robust features based on sorted random projections (RPs), built on the universal and information-preserving properties of(More)
Local Binary Pattern (LBP) and its variants are effective and popular descriptors for texture classification. Most LBP like descriptors have disadvantages including sensitiveness to noise and inability to capture long distance texture information. In this paper we propose a simple, efficient, yet robust multi-resolution descriptor to texture classification(More)
Structure from motion (SfM) has been an active research area in computer vision for decades and numerous practical applications are benefiting from this research. While no previous work has tried to summarize the applications appearing in the literature, this paper deals with a comprehensive overview of recent applications of SfM by classifying them into 10(More)
Increasing scale leaves a challenging problem for visualizing large attributed networks. Hierarchical aggregation is a promising solution. Existing methods mainly focus on the topological structure but ignore vertex properties; moreover, the inherent hierarchy restricts network navigation process. This paper proposes an user-specified visualization method(More)
Local image feature description is a basic research in the field of computer vision and it is also a hotspot in the community. The paper depicts the development history of local feature description in decades. Then based on the strategy of feature pooling, it classifies feature description methods into three types: histogram based method, feature comparison(More)
We present an inverse kinematics solver based on Gaussian process latent variable models (GP-LVM). Because of the high-dimension of motion capture data, Analyzing them directly is a very hard work. We map the motion capture data from higher-dimensional observation space to two-dimensional latent space based on GP-LVM, then, find out the representative poses(More)
A highly accurate feature point matching method for stereo was proposed. It was proved that the homography between corresponding feature windows can be approximated by an affine model. Then the projective distortion of corresponding feature windows was estimated and rectified by a fast iterative scheme, at the same time, the location error of corresponding(More)
Visualizing the evolving process of the dynamic network is a challenge in the Big Data era. In addition to presenting network structure at each time step, the layout sequence should preserve user's mental map. In this paper, we propose a novel algorithm based on multiple constraints to achieve an aesthetic layout while maintain a coherent mental map. An(More)
This paper designs a visual scene navigation and alarm system of the aircraft that aims at improving the ability of executing tasks in low visibility and complex environment. Firstly, a bounding box was created for three dimensional threaten regions, and the surface voxelization is realized by the point voxelization. The solid voxelization is realized by(More)