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Performance modeling and prediction of face recognition systems

Performance modeling and prediction of face recognition syst...

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Peng, Wang Qiang, Ji Section of Biomedical Image Analysis Department of Radiology University of Pennsylvania Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute

ISBN: (纸本)0769525970

It is a challenging task to accurately model the performance of a face recognition system, and to predict its individual recognition results under various environments. This paper presents generic methods to model and predict the face recognition performance based on analysis of similarity measurement. We first introduce a concept of "perfect recognition", which only depends on the intrinsic structure of a recognition system. A metric extracted from perfect recognition similarity scores (PRSS) allows modeling the face recognition performance without empirical testing. This paper also presents an EM algorithm to predict the recognition rate of a query set. Furthermore, features are extracted from similarity scores to predict recognition results of individual queries. The presented methods can select algorithm parameters offline, predict recognition performance online, and adjust face alignment online for better recognition. Experimental results show that the performance of recognition systems can be greatly improved using presented methods. © 2006 ieee.

关键词： Face recognition

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Three-dimensional shape and motion reconstruction for the analysis of American sign language

Three-dimensional shape and motion reconstruction for the an...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Ding, Liya Martinez, Aleix M. Dept. of Electrical and Computer Engineering Ohio State University

ISBN: (纸本)0769526462

The design of systems that can analyze and recognize American Sign Language (ASL) sentences, require that motion patterns and handshapes be independently represented from one another. In this paper, we define an algorithm that first obtains the 3D shape of each of the linguistically significant fingers (known as "selected" fingers in the linguistic literature), and then represents the motion of the hand as a three-dimensional trajectory in the coordinate system of the camera. In doing so, we address the problems caused by self-occlusions and localization errors. The 3D shape is obtained using an affine structure from motion algorithm that is based on the linear fitting of matrices with missing data. To recover the 3D motion of the hand, we define a robust algorithm that selects the most stable solution from the pool of all the solutions given by the three point resection problem. To be robust to localization errors (of the hand feature points tracked) we define a simple algorithm that searches for that combination of coordinates that gives the largest number of stable solutions in our system of equations. To validate our theory, we provide a set of experimental results using video sequences of ASL signs. © 2006 ieee.

关键词： Image reconstruction

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Model-driven video-based rendering for vehicles

Model-driven video-based rendering for vehicles

引用

2006 conference on computer vision and pattern recognition workshops

作者： Sebe, Ismail Oner You, Suya Neumann, Ulrich Computer Graphics and Immersive Technologies Laboratory PHE 108 3737 Watt Way Los Angeles CA 90089

ISBN: (纸本)0769526462

We present a video-based rendering (VBR) method that creates arbitrary views of the scene from images captured by a single un-calibrated camera. The system is model-based and focused on a single object class, specifically vehicles in this paper. The procedure has three main steps. First, the object is rapidly modeled from a single image using a simple interactive tool. The modeling tool creates high quality 3D models by facilitating constrained modifications to a generic model of the object class. Secondly, the dynamic object is tracked in the video sequence and the pose of the object is recorded. The tracking and pose estimation leverage the 3D model to ensure high accuracy. Lastly, the surrounding scene is modeled as a texturedpiece-wise planar approximation. A free-viewpoint rendering of the video (4D video) is then produced as needed for special effects or virtual reality applications. The versatility and effectiveness of our approach to modeling and rendering is demonstrated on the object class of vehicles. © 2006 ieee.

关键词： Vehicle locating systems

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Segmentation of vessels using weighted local variances and an active contour model

Segmentation of vessels using weighted local variances and a...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Law, W.K. Chung, Albert C. S. Lo Kwee-Seong Medical Image Analysis Laboratory Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong

ISBN: (纸本)0769526462

Performing segmentation of vasculature with blurry and low contrast boundaries in noisy images is a challenging problem. This paper presents a novel approach to segmenting blood vessels using weighted local variances and an active contour model. In this work, the vessel boundary orientation is estimated locally based on the orientation that minimizes the weighted local variance. Such estimation is less sensitive to noise compared with other common approaches. The edge clearness is measured by the ratio of weighted local variances obtained along different orientations. It is independent of the edge intensity contrast and capable of locating weak boundaries. Integrating the orientation and clearness of edges, an active contour model is employed to align contours that match the contour tangent direction and edge orientation. The proposed method is validated by two synthetic images and two real cases. It is experimentally shown that our method is suitable for dealing with noisy images which consist of structures having blurry and low contrast boundaries, such as blood vessels. © 2006 ieee.

关键词： Blood vessels

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Protecting face biometric data on smartcard with reed-solomon code

Protecting face biometric data on smartcard with reed-solomo...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Feng, Yi Cheng Yuen, Pong C. Department of Computer Science Hong Kong Baptist University Hong Kong Hong Kong

ISBN: (纸本)0769526462

This paper addresses the biometric security problem on smartcard and proposes a new method to protect face biometric data against attack. The proposed method is developed based on the Reed-Solomon codes, with two modifications. First, to handle the image variations problem, a bounded distance encoding algorithm is used to reduce the within-class distance. Second, since the dimension of the face feature vector is relatively large, we divide the feature vector into smaller segment. In this way, we found that it will not only affect the performance, but also the security of the encoding algorithm. A theoretical analysis is also given in this paper. Two most popular appearance-based methods, namely, Eigenface and Fisherface, are selected to construct the feature vector and ORL database is used for evaluation. In Eigenface system, the proposed algorithm offers a security level of 120 bits, with an acceptable error rate of around 3%. In Fisherface system, the proposed algorithm offers a security level of 62 bits, with equal error rate around 5%. The results are comparable with performance of Eigenface and Fisherface without protection. © 2006 ieee.

关键词： Security of data

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BICIR:Boundary-constrained inverse consistent image registration using WEB-splines

BICIR:Boundary-constrained inverse consistent image registra...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Kumar, Dinesh Geng, Xiujuan Hoffman, Eric A. Christensen, Gary E. Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 Department of Radiology University of Iowa Iowa City IA 52242

ISBN: (纸本)0769526462

We present a new registration method called boundaryconstrained inverse consistent image registration (BICIR). This method is novel because it performs boundary constrained intensity based image registration by combining surface- and intensity-based registration. The method registers a region of interest and ignores everything outside the region eliminating interference caused by surrounding regions. The boundaries of the two objects are first registered using the transitive inverse-consistent manifold registration (TICMR) described in [4], This provides the boundary conditions, which are used to compute the displacement over the object using the Element Free Galerkin Method (EFGM). The EFGM solution is used as an initialization and is fine-tuned using the intensity information inside the object. The transformations are represented with shape specific basis functions that have local support. These basis functions are defined only over the region of interest and help improve the computational performance. The BICIR method was tested for a number of 2-dimensional test images. The method was validated using the similarity cost, relative overlap and inverse consistency error. © 2006 ieee.

关键词： Image processing

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Content-based dynamic 3D mosaics

Content-based dynamic 3D mosaics

引用

2006 conference on computer vision and pattern recognition workshops

作者： Zhu, Zhigang Tang, Hao Department of Computer Science City College of New York New York NY 10031

ISBN: (纸本)0769526462

We propose a content-based 3D mosaic (CB3M) representation for long video sequences of 3D and dynamic scenes captured by a camera on a mobile platform. After a set of parallel-perspective (pushbroom) mosaics with varying viewing directions is generated, a multi-view, segmentation-based stereo matching algorithm is applied to extract parametric representations of the color, structure and motion of the dynamic and/or 3D objects in urban scenes. We use the fact that all the static objects obey the epipolar geometry of pushbroom stereo, whereas an independent moving object either violates the epipolar geometry if the motion is not in the direction of sensor motion or exhibits unusual 3D structures. The CB3M is a highly compressed visual representation for a very long video sequence of a dynamic 3D scene. More importantly, the CB3M representation has object contents of both 3D and motion. Experimental results are given for the CB3M construction for both simulated and real video sequences. © 2006 ieee.

关键词： Image processing

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Fast image motion computation on an embedded computer

Fast image motion computation on an embedded computer

引用

2006 conference on computer vision and pattern recognition workshops

作者： Lu, X. Manduchi, R. University of California Santa Cruz

ISBN: (纸本)0769526462

Wireless, battery-powered camera networks are becoming of interest for surveillance and monitoring applications. The computational power of these platforms is often limited in order to reduce energy consumption. Among the visual tasks that the onboard processor may be required to perform, motion analysis is one of the most basic and relevant. Knowledge of the direction of motion and velocity of a moving body may be used to take actions such as sending an alarm or triggering other camera nodes in the network We present a fast algorithm for identifying moving areas in an image and computing the average velocity in such areas. The algorithm, which was implemented and tested on a Crossbow Stargate embedded platform, is comprised of three stages. First, local differential measurements are used to determine an initial labeling of image blocks. A total least squares approach is proposed, with fast implementation inspired by the work of Benedetti and Perona. Then, belief propagation is used to impose spatial coherence and resolve aperture effect inherent in textureless areas. Finally, the velocity of the resulting blobs is estimated via least squares regression. A detailed analysis of timing and power consumption characteristics of this algorithm is also presented. © 2006 ieee.

关键词： Motion estimation

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Scalable recognition with a vocabulary tree

Scalable recognition with a vocabulary tree

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Nistér, David Stewénius, Henrik Center for Visualization and Virtual Environments Department of Computer Science University of Kentucky

ISBN: (纸本)0769525970

A recognition scheme that scales efficiently to a large number of objects is presented. The efficiency and quality is exhibited in a live demonstration that recognizes CD-covers from a database of 40000 images of popular music CD's. The scheme builds upon popular techniques of indexing descriptors extracted from local regions, and is robust to background clutter and occlusion. The local region descriptors are hierarchically quantized in a vocabulary tree. The vocabulary tree allows a larger and more discriminatory vocabulary to be used efficiently, which we show experimentally leads to a dramatic improvement in retrieval quality. The most significant property of the scheme is that the tree directly defines the quantization. The quantization and the indexing are therefore fully integrated, essentially being one and the same. The recognition quality is evaluated through retrieval on a database with ground truth, showing the power of the vocabulary tree approach, going as high as 1 million images. © 2006 ieee.

关键词： Object recognition

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Scalable monocular SLAM

Scalable monocular SLAM

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Eade, Ethan Drummond, Tom Cambridge University

ISBN: (纸本)0769525970

Localization and mapping in unknown environments becomes more difficult as the complexity of the environment increases. With conventional techniques, the cost of maintaining estimates rises rapidly with the number of landmarks mapped. We present a monocular SLAM system that employs a particle filter and top-down search to allow real-time performance while mapping large numbers of landmarks. To our knowledge, we are the first to apply this FastSLAM-type particle filter to single-camera SLAM. We also introduce a novel partial initialization procedure that efficiently determines the depth of new landmarks. Moreover, we use information available in observations of new landmarks to improve camera pose estimates. Results show the system operating in real-time on a standard workstation while mapping hundreds of landmarks. © 2006 ieee.

关键词： computer vision

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