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GridNet:efficiently learning deep hierarchical representation for 3D point cloud understanding

Frontiers of Computer Science 2022年第1期16卷 1-9页

作者： Huiqun WANG Di HUANG Yunhong WANG Laboratory of Intelligent Recognition and Image Processing School of Computer Science and EngineeringBeihang UniversityBeijing100191China

In this paper,we propose a novel and effective approach,namely GridNet,to hierarchically learn deep representation of 3D point *** incorporates the ability of regular holistic description and fast data processing in a single framework,which is able to abstract powerful features progressively in an efficient ***,to capture more accurate internal geometry attributes,anchors are inferred within local neighborhoods,in contrast to the fixed or the sampled ones used in existing methods,and the learned features are thus more representative and discriminative to local point *** delivers very competitive results compared with the state of the art methods in both the object classification and segmentation tasks.

关键词： 3D point clouds deep representations

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Hierarchical and discriminative bag of features for face profile and ear based gender classification

Hierarchical and discriminative bag of features for face pro...

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2011 International Joint Conference on Biometrics, IJCB 2011

作者： Zhang, Guangpeng Wang, Yunhong Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beihang 100191 China

ISBN: (纸本)9781457713583

Gender is an important demographic attribute of human beings, automatic face based gender classification has promising applications in various fields. Previous methods mainly deal with frontal face images, which in many cases can not be easily obtained. In contrast, we concentrate on gender classification based on face profiles and ear images in this paper. Hierarchical and discriminative bag of features technique is proposed to extract powerful features which are classified by support vector classification (SVC) with histogram intersection kernel. With the output of SVC, fusion of multi-modalities is performed at the score level based on Bayesian analysis to improve the accuracy. Experiments are conducted using texture images of the UND biometrics data sets Collection F, and average classification accuracy of 97.65% is achieved, which is comparable to the state of the art. Our work can be used in cooperate with existing frontal face based methods for accurate multi-view gender classification. © 2011 IEEE.

关键词： Classification (of information)

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FIFAWC:a dataset with detailed annotation and rich semantics for group activity recognition

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Frontiers of Computer Science 2024年第6期18卷 271-272页

作者： Duoxuan PEI Di HUANG Yunhong WANG State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Intelligent Recognition and Image Processing Lab. School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

1 *** Activity recognition(GAR),which aims to identify activities performed collectively in videos,has gained significant attention *** conventional action recognition centered on single individuals,GAR explores the c... 详细信息

关键词： has collective gained

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Lossless compression on-board remote sensing satellites

Lossless compression on-board remote sensing satellites

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2011 International Conference on Future Computer Science and Education, ICFCSE 2011

作者： Lara, Roberto Arenas Wang, Yunhong Lab. of Intelligent Recognition and Image Processing Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9780769545332

image processing on-board satellites is no longer a nice to have feature. Lossless image compression allows increasing the stored data on-board satellite and transmitting it to the ground station without losing quality of the images. An overview of development trend in this area, as well as brief state-of-the-art lossless image compression methods on-board satellites are presented in this paper. © 2011 IEEE.

关键词： Remote sensing

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Efficient human parsing based on sketch representation

Efficient human parsing based on sketch representation

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11th Asian Conference on Computer Vision, ACCV 2012

作者： Wang, Meng Zhang, Zhaoxiang Wang, Yunhong Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9783642373305

In this paper, we present an efficient human parsing method which estimates human body poses from 2D images. Firstly we propose an edge sketch representation, which enhance critical information for pose estimation and prune the redundant. The sketch representation is generated by employing two sets of filters on extracted edges. Based on sketch representation, body part candidates can be located easily using parallel lines detection in Hough space. Then we use specifically trained linear SVM classifiers to detect each body part candidates based on parallel line feature. A dynamic programming algorithm is applied to calculate the MAP estimation based on standard pictorial structure model, which use a kinematic tree to describe human pose. To evaluate the representing ability of proposed sketch representation, as well as the accuracy and efficiency of our entire human pose estimation method, we run two sets of experiments on a sports image dataset respectively. Experimental results demonstrate that the human body parts in the images can be well described by our proposed sketch representation. Furthermore, our human pose estimation method is efficient and achieves comparable accuracy against the state-of-the-art. © 2013 Springer-Verlag.

关键词： Dynamic programming

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Comparing and integrating alignment template and standard phrase-based statistical machine translation

Comparing and integrating alignment template and standard ph...

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8th International Conference on intelligent Text processing and Computational Linguistics

作者： Xu, Lin Cao, Xiaoguang Zhang, Bufeng Li, Mu Lab. of Pattern Recognition and Intelligent System Image Processing Center BeiHang University China Al Lab. Computer Science and Technology Tianjing University China Microsoft Research Asia China

ISBN: (纸本)9783540709381

In statistical machine translation (SMT) research, phrase-based methods have been receiving more interest in recent years. In this paper, we first give a brief survey of phrase-based SMT framework, and then make detailed comparisons of two typical implementations: alignment template approach and standard phrase-based approach. At last, we propose an improved model to integrate alignment template into standard phrase-based SMT as a new feature in a log-linear model. Experimental results show that our method outperforms the baseline method.

关键词： Natural language processing systems

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A novel video face clustering algorithm based on divide and conquer strategy

A novel video face clustering algorithm based on divide and ...

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12th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2012

作者： Gou, Gaopeng Huang, Di Wang, Yunhong Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9783642326943

Video-based face clustering is a very important issue in face analysis. In this paper, a framework for video-based face clustering is proposed. The framework contains two steps. First, faces are detected from videos and divided into subgroups using temporal continuity information and SIFT (Scale Invariant Feature Transform) features. Second, the typical samples are selected from these subgroups in order to remove some non-typical faces. A similarity matrix is then constructed using these typical samples in the subgroups. The similarity matrix is further processed by our method to generate the face clustering results of that video. Our algorithm is validated using the SPEVI datasets. The experiments demonstrated promising results from our algorithm. © 2012 Springer-Verlag.

关键词： Clustering algorithms

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Template selection for on-line signature verification

Template selection for on-line signature verification

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作者： Liu, Ningning Wang, Yunhong Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing 100083 China

ISBN: (纸本)9781424421756

In this paper, we propose two effective methods to perform automatic template selection where the goal is to select prototype signature templates for a user from a given set of online signatures. The first method employs a clustering strategy to choose a template set that best represents the intra-class variations, while the second method selects templates that exhibit maximum similarity with the rest of the signatures. In the experiment, two typical online signature verification have been employed, respectively based on global and local features, and the verifying results on a database Task2 of SVC2004 ( First Signature Verification Competition 2004 ), with 20 genuine signatures and 20 skilled forgeries for each set, indicate that two proposed selection procedures as presented here results in better performance than random template selection. © 2008 IEEE.

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A hierarchical framework for image-based human age estimation by weighted and OHRanked Sparse Representation-based classification

A hierarchical framework for image-based human age estimatio...

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2012 5th IAPR International Conference on Biometrics, ICB 2012

作者： Li, Weixin Wang, Yunhong Zhang, Zhaoxiang Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781467303941

Human age estimation based on face images can figure in a wide variety of real-world applications. In this paper, we propose a novel and efficient facial age estimation algorithm which decides human age in a hierarchical framework. Biologically, human lives can be roughly divided into two stages, the period from birth to adulthood and the period from adulthood to old age, which are quite different from each other in face growth and aging forms. Considering that craniofacial growth occurs mainly in the first stage while keeps basically stable in the second, based on the shape features, the coarse step of the framework determines which age stage the test sample belongs to using a quadratic function. On the other hand, since the face appearance of individuals in the same age group or even of the same age does have some similarities in common, accurate age estimation within the age stage is solved by Sparse Representation-based classification (SRC) in the fine step. However, SRC requires sufficient training samples in each class and in practice this assumption often does not hold, making the performance of age estimation limited. Accordingly, we take use of the idea of Ordinal Hyperplanes Ranker (OHRank) and weights of samples' numbers in each class to solve the aforementioned problem, improving the age estimation results. Results of experiments conducted on the FG-NET Database demonstrate the effectiveness of our method. © 2012 IEEE.

关键词： image classification

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Ethnicity classification based on fusion of face and gait

Ethnicity classification based on fusion of face and gait

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2012 5th IAPR International Conference on Biometrics, ICB 2012

作者： Zhang, De Wang, Yunhong Zhang, Zhaoxiang Hu, Maodi Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781467303941

The recognition of ethnicity of an individual can be very useful in a video-based surveillance system. In this paper, we propose a multimodal biometric system involving an integration of frontal face and lateral gait, for the specific problem of ethnicity classification. This system performs a feature fusion to improve the discrimination of human ethnicity. Face features are extracted by means of the uniform LBP operator and gait information is characterized by a spatio-temporal representation. Afterwards, canonical correlation analysis (CCA), as a powerful tool to relate two sets of measurements, is used to fuse the two modalities at the feature level. A database including 36 walking people from East Asia and South America is built for the purpose of ethnicity classification. The experimental results show that the ethnicity recognition rate is improved by fusing face and gait information. © 2012 IEEE.

关键词： Classification (of information)

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