Probabilistic Detection-based Particle Filter for Multi-target Tracking (2010)
Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao
In this paper, we present a Probabilistic Detection-based Particle Filter (PD-PF) for tracking a variable number of interacting targets. When the objects do not interact with each other, our method...
Dirichlet Component Analysis: Feature Extraction for Compositional Data (2009)
Hua-yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, the data components...
Dirichlet Component Analysis: Feature Extraction for Compositional Data (2009)
Hua-yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, the data components...
Adaptive p-Posterior Mixture-Model Kernels for Multiple Instance Learning (2009)
Hua-yan Wang, Qiang Yang, Hongbin Zha
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mechanism of how the...
Interactive Rendering with LOD Control and Occlusion Culling Based on Polygon Hierarchies (2008)
Tokuo Tsuji, Hongbin Zha, Ryo Kurazume, Tsutomu Hasegawa
This paper presents a new method of combining dynamic control of LOD and conservative occlusion culling based on a new hierarchical data structure of polygons. Our method is effective for rendering a...
A Robust Method for Shape-based 3D Model Retrieval (2008)
Yi Liu, Jiantao Pu, Guyu Xin, Hongbin Zha, Weibin Liu, Yusuke Uehara
Proliferation of 3D models necessitates developing efficient methods for indexing or retrieving the models in a large database. Many previous methods for this purpose defined functions on concentric...
A New Real-time Collision Prediction Model for Soccer Robots (2008)
Hong Liu, Hongbin Zha, Keming Chen, Peng Wang
Based on analyses of multi-agent motions in robot soccer games, a new collision prediction model is presented. We also propose a new idea of making the collision action as a central issue of robot...
Hong Liu, Yuwen Wu, Hongbin Zha
In this paper, an automatic and real time method for detecting eye states is proposed. The method is based on the fact that the regions of iris and white regions of an eyeball can be detected when it...
A Training Method for Robust Recognition of Color Uniforms of Soccer Robots Abstract (2008)
Hong Liu, Hongbin Zha, Suoqian Feng
A training method for robust recognition of color uniforms of soccer robots is proposed in this paper. Surface illuminative conditions of playground in competition environment are tested by training...
Dirichlet Aggregation: Unsupervised Learning towards an Optimal Metric for Proportional Data (2008)
Hua-yan Wang, Hongbin Zha, Hong Qin
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A proper distance...
H.: Adaptive p-posterior mixture-model kernels for multiple instance learning (2008)
Hua-yan Wang, Qiang Yang, Hongbin Zha
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mechanism of how the...
A Fast Narrow Band Method and Its Application in Topology-Adaptive 3-D Modeling (2007)
Shuntaro Yui, Kenji Hara, Hongbin Zha, Tsutomu Hasegawa
We present a new fast method of modeling 3-D objects of arbitrary topology. The Level Set Methods have been used by many researchers to recover 3-D shapes of arbitrary topology. However, those...
Shape topics: A compact representation and new algorithms for 3d partial shape retrieval (2006)
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model. After vector...
The generalized shape distributions for shape matching and analysis (2006)
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions " for effective shape matching and analysis, by taking advantage of both local and global shape...
Riemannian manifold learning for nonlinear dimensionality reduction. ECCV (2006)
Tony Lin, Hongbin Zha, Sang Uk Lee
Abstract. In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient algorithm...
Modeling facial expression space for recognition”. Intelligent Robots and Systems (2005)
Yuwen Wu, Hong Liu, Hongbin Zha
Abstract – In this paper, we present a method of modeling facial expression space for facial expression recognition by fuzzy integral. In traditional expression recognition methods using shape...