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A high resolution grammatical model for face representation and sketching

A high resolution grammatical model for face representation ...

引用

2005 ieee computer society conference on computer Vision and pattern recognition, CVPR 2005

作者： Xu, Zijian Chen, Hong Zhu, Song-Chun Department of Statistics and Computer Science University of California Los Angeles United States

ISBN: (纸本)0769523722

In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers, (i) One layer refines the global AAM (PCA) model with a dictionary of learned face components to account for the shape and intensity variabilities of eyes, eyebrows, nose and mouth, (ii) The other layer divides the face skin into 9 zones with a learned dictionary of sketch primitives to represent skin marks and wrinkles. This model is no longer of fixed dimensions and is flexible for it can select the diverse representations in the dictionaries of face components and skin features depending on the complexity of the face. The selection is modulated by the grammatical rules through hidden "switch" variables. Our comparison experiments demonstrate that this model can achieve nearly lossless coding of face at high resolution (256 × 256 pixels) with low bits. We also show that the generative model can easily generate cartoon sketches by changing the rendering dictionary. Our face model is aimed at a number of applications including cartoon sketch in non-photorealistic rendering, super-resolution in image processing. and low bit face communication in wireless platforms. © 2005 ieee.

关键词： Face recognition

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Quaternion correlation filters for face recognition in wavelet domain

Quaternion correlation filters for face recognition in wavel...

引用

2005 ieee International conference on Acoustics, Speech, and Signal processing. ICASSP '05

作者： Xie, Chunyan Savvides, Marios Vijaya Kumar, B.V.K. Carnegie Mellon University Department of Electrical and Computer Engineering 5000 Forbes Avenue Pittsburgh PA 15213 United States

ISBN: (纸本)0780388747

In this paper, a new frequency domain face recognition method using wavelet decomposition and quaternion correlation filters is proposed. The wavelet decomposition of the face image leads to a wavelet subband representation, which contains four subband images corresponding to four orthogonal channels. These four subbands can be encoded into a 2-D quaternion number array. The quaternion correlation filter method is developed for performing pattern recognition on multichannel 2-D signal jointly. The proposed method has been shown to achieve significant improvement in face recognition results compared to traditional advanced correlation filter method for handling illumination variations of face images. We experimented with the CMU PIE database consisting of 65 people with 21 illumination variations per person, showing that our method can achieve close to 100% recognition accuracy using just a single training image of a person under neutral frontal lighting and testing on all other un-seen harsh illuminations. © 2005 ieee.

关键词： image analysis

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Scene reconstruction with sparse range information 2

Scene reconstruction with sparse range information

引用

2nd Canadian conference on computer and Robot Vision, CRV 2005

作者： Chen, Guangyi Dudek, G. Torres-Mendez, L.A. Center for Intelligence Machines McGill Univ. MontrealQCH3A2A7 Canada

ISBN: (纸本)0769523196

This paper addresses an approach to scene reconstruction by inferring missing range data in a partial range map based on intensity image and sparse initial range data. It is assumed that the initial known range data is given on a number of scan lines one pixel width. This assumption is natural for a range sensor to acquire range data in a 3D real world environment. Both edge information of the intensity image and linear interpolation of the range data are used. Experiments show that this method gives very good results in inferring missing range data. It outperforms both the previous method and bilinear interpolation when a very small percentage of range data is known. © 2005 ieee.

关键词： computer vision

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Registration uncertainty for robot self-localization in 3D 2

Registration uncertainty for robot self-localization in 3D

引用

2nd Canadian conference on computer and Robot Vision, CRV 2005

作者： Zhang, Pifu Gu, J. Milios, E.E. Faculty of Computer Science Dalhousie University Canada Dep. of Electrical and Computer Engi. Dalhousie University Canada

ISBN: (纸本)0769523196

Stereo camera is a very important sensor for mobile robot localization and mapping. Its consecutive images can be used to estimate the location of the robot with respect to its environment. This estimation will be fused with location estimates from other sensors for a globally optimal location estimate. In the data fusion context, it is important to compute the uncertainty of the stereo-based localization. In this paper, we propose an approach to obtain the uncertainty of localization when a correspondence-based method is used to estimate the robot pose. The computational complexity of this approach is O(n). Where n is the number of corresponding image points. Experimental results show that this approach is promising. © 2005 ieee.

关键词： Data fusion

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Fast and robust portrait segmentation using QEA and histogram peak distribution methods

Fast and robust portrait segmentation using QEA and histogra...

引用

International conference on Intelligent Computing, ICIC 2005

作者： Liu, Heng Zhang, David Yan, Jingqi Li, Zushu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China Southwest University of Scientist and Technology Sichuan 621000 China Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong Institute of Intelligent Automation Chongqing University Chongqing 400044 China

image segmentation is kernel part of image analysis and processing. Fast and robust portrait segmentation and fusion is still a challenging problem by far. In this paper, we present two fast and robust methods to segment portrait in blue background. One method is threshold obtaining based on histogram peak distribution, the other is Quantum Evolution Algorithm (QEA) threshold searching based on group variance. Detailed experiments and comparison analyses are presented to demonstrate the performance of our methods. © Springer-Verlag Berlin Heidelberg 2005.

关键词： image segmentation

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Active contours using a constraint-based implicit representation

Active contours using a constraint-based implicit representa...

引用

2005 ieee computer society conference on computer Vision and pattern recognition, CVPR 2005

作者： Morse, Bryan S. Liu, Weiming Yoo, Terry S. Subramanian, Kalpathi Department of Computer Science Brigham Young University United States Office of High Performance Computing and Communications National Library of Medicine United States Department of Computer Science University of North Carolina Charlotte United States

ISBN: (纸本)0769523722

We present a new constraint-based implicit active contour, which shares desirable properties of both parametric and implicit active contours. Like parametric approaches, their representation is compact and can be manipulated interactively. Like other implicit approaches, they can naturally adapt to non-simple topologies. Unlike implicit approaches using level-set methods, representation of the contour does not require a dense mesh. Instead, it is based on specified on-curve and off-curve constraints, which are interpolated using radial basis functions. These constraints are evolved according to specified forces drawn from the relevant literature of both parametric and implicit approaches. This new type of active contour is demonstrated through synthetic images, photographs, and medical images with both simple and non-simple topologies. For complex input, this approach produces results comparable to those of level set or parameterized finite-element active models, but with a compact analytic representation. As with other active contours they can also be used for tracking, especially for multiple objects that split or merge. © 2005 ieee.

关键词： image processing

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3D model-assisted face recognition in video 2

3D model-assisted face recognition in video

引用

2nd Canadian conference on computer and Robot Vision, CRV 2005

作者： Park, Unsang Chen, Hong Jain, A.K. Department of Computer Science and Engineering Michigan State University East LansingMI48824 United States

ISBN: (纸本)0769523196

Face recognition in video has gained wide attention as a covert method for surveillance to enhance security in a variety of application domains (e.g., airports). A video contains temporal information as well as multiple instances of a face, so it is expected to lead to better face recognition performance compared to still face images. However, faces appearing in a video have substantial variations in pose and lighting. These pose and lighting variations can be effectively modeled using 3D face models. Combining the advantages of 2D video and 3D face models, we propose a face recognition system that identifies faces in a video. The system utilizes the rich information in a video and overcomes the pose and lighting variations using 3D face model. The description of the proposed method and preliminary results are provided. © 2005 ieee.

关键词： Face recognition

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Palmprint identification algorithm using hu invariant moments and otsu binarization 05

Palmprint identification algorithm using hu invariant moment...

引用

4th Annual ACIS International conference on computer and Information Science, ICIS 2005

作者： Noh, Jin Soo Rhee, Kang Hyeon Dept. of Electronic Eng. College of Elec-Info Eng. Chosun University

ISBN: (纸本)0769522963

Recently, Biometrics-based personal identification is regarded as an effective method of person's identity with recognition automation and high performance. In this paper, the palmprint recognition method based on Hu invariant moment is proposed. And the low-resolution(75dpi) palmprint image(135×135 Pixel) is used for the small scale database of the effectual palmprint recognition system. The proposed system is consists of two parts: firstly, the palmprint fixed equipment for the acquisition of the correctly palmprint image and secondly, the algorithm of the efficient processing.for the palmprint recognition. And the palmprint identification step is limited 3 times. As a results, when the coefficient is 0.001 then FAR and GAR are 0.038% and 98.1% each other. The authors confirmed that FAR is improved 0.002% and GAR is 0.1% each other compared with online palmprint Identification algorithm. © 2005 ieee.

关键词： pattern recognition

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A fast and memory efficient approach for fingerprint authentication system

A fast and memory efficient approach for fingerprint authent...

引用

ieee conference on Advanced Video and Signal Based Surveillance, AVSS 2005

作者： Allah, Mohamed Mostafa Abd Department of Electrical Faculty of Engineering Minia University

ISBN: (纸本)0780393856

It is still a challenge to integrate a biometrics solution such as fingerprint matching into a smart card. However, current generation of smart card is usually equipped with an 8- or 16-bit microcontroller which has limitations on hardware resources. In this paper, we present our approaches to reduce memory requirement for storing image buffer and to reduce the image processing.time. Also, we show the advantages of using line extraction scheme to reduce the size of the accumulator array and to speed up the matching process. The proposed method contains more information per bit than the conventional method that can be embedded in smart cards for a real-time Match-on-Card system implementation. Furthermore, optimization in platform level offers feasibility of code integration into a low memory budget platform. An example of fingerprint identification implementation on a DSP platform with limited memory budget is presented to show effectiveness of our approach. © 2005 ieee.

关键词： pattern recognition systems

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Photometric stereo via locality sensitive high-dimension hashing 2

Photometric stereo via locality sensitive high-dimension has...

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2nd Canadian conference on computer and Robot Vision, CRV 2005

作者： Zhong, Lin Little, J.J. Department of Computer Science University of British Columbia Canada

ISBN: (纸本)0769523196

In this paper, we extend the new photometric stereo method of Hertzmenn and Seitz that uses many images of an object together with a calibration object. For each point in the registered collection of images, we have a large number of brightness values. Photometric stereo finds a similar collection of brightness values from the calibration object and overdetermines the surface normal. With a large number of images, finding similar brightnesses becomes costly search in high dimensions. To speed up the search, we apply locality sensitive high dimensional hashing (LSH) to compute the irregular target object's surface orientation. The experimental results of a simplified photometric stereo experiment show consistent results in surface orientation. LSH can be implemented very efficiently and offers the possibility of practical photometric stereo computation with a large number of images. © 2005 ieee.

关键词： Calibration

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