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Self-normalized linear tests

Self-normalized linear tests

引用

conference on computer vision and pattern recognition (cvpr)

作者： S. Gangputra D. Geman Dept. of Electr. & Comput. Eng. Johns Hopkins Univ. Baltimore MD USA Dept. of Electrical and Computer Engineering The Johns Hopkins University Baltimore MD USA

Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of the form sign (L - /spl tau/) for some threshold /spl tau/. Due mainly to fixing /spl tau/, such tests are sensitive to changes in illumination and other variations in imaging conditions. We propose a special case, a "self-normalized linear test" (SNLT), hard-wired to be of the form sign (L/sub 1/ - L/sub 2/) with unit weights. The basic idea is to "normalize" L/sub 1/, which involves the usual discriminating features, by L/sub 2/, which is composed of non-discriminating features. For a rich variety of features (e.g., based directly on intensity differences), SNLTs are largely invariant to illumination and robust to unexpected background variations. Experiments in face detection are promising: they confirm the expected invariances and out-perform some previous results in a hierarchical framework.

关键词： Automatic testing Lighting Object detection Face detection Degradation Mathematics Statistics pattern recognition Robustness Linear discriminant analysis

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Geometric Hashing with Local Affine Frames

Geometric Hashing with Local Affine Frames

引用

conference on computer vision and pattern recognition (cvpr)

作者： O. Chum J. Matas Center for Machine Perception Czech Technical University Czech Republic CVSSP University of Surrey Guildford UK

We propose a novel representation of local image structure and a matching scheme that are insensitive to a wide range of appearance changes. The representation is a collection of local affine frames that are constructed on outer boundaries of maximally stable extremal regions (MSERS) in an affine-covariant way. Each local affine frame is described by a relative location of other local affine frames in its neighborhood. The image is thus represented by quantities that depend only on the location of the boundaries of MSERs. Inter-image correspondences between local affine frames are formed in constant time by geometric hashing. Direct detection of local afine frames removes the requirement of a point-based hashing to establish reference frames in a combinatorial way, which has in the case of affine transform complexily that is cubic in the number of points. Local affine frames, which are also the quantities represented in the hash table, occupy a 6 0 space and hence data collisions are less likely compared with 2 0 point hashing. Experimentally, the robustness of the method and its insensitiviq to photometric changes is demonstrated on images from different spectral bands of satellite sensor; on images of a transparent object and on images of an object taken during day and night.

关键词： Image recognition Photometry Image retrieval Object recognition computer vision Information retrieval Robustness Satellites Application software Real time systems

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Using many cameras as one

Using many cameras as one

引用

conference on computer vision and pattern recognition (cvpr)

作者： R. Pless Department of Computer Science and Engineering Washington University of Saint Louis Saint Louis MO USA

We illustrate how to consider a network of cameras as a single generalized camera in a framework proposed by Nayar (2001). We derive the discrete structure from motion equations for generalized cameras, and illustrate the corollaries to epipolar geometry. This formal mechanism allows one to use a network of cameras as if they were a single imaging device, even when they do not share a common center of projection. Furthermore, an analysis of structure from motion algorithms for this imaging model gives constraints on the optimal design of panoramic imaging systems constructed from multiple cameras.

关键词： Cameras Geometry Layout Motion analysis Solid modeling Equations Image analysis Algorithm design and analysis computer vision Motion estimation

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A linear generalized Hough transform and its parallel implementation

A linear generalized Hough transform and its parallel implem...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Z.N. Li B.G. Yao F. Tong School of Computing Science Simon Fraser University Burnaby BC Canada

A linear generalized Hough transform (LIGHT) in which a linear numeric pattern is used to replace the single peak in the original generalized Hough transform (GHT) is presented. The LIGHT is more capable of detecting partially occluded objects. Moreover, it is well-suited for parallelization, especially on SIMD array processors. Several sequential and parallel LIGHT algorithms have been developed. Preliminary results for parallel implementation were obtained from and SIMD one-dimensional array processor (the AIS-4000 vision processor with 512 processing elements).< >

关键词： Voting Object detection Object recognition pattern matching Parallel algorithms Shape Image edge detection

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Kernel based intrusion detection system 05

Kernel based intrusion detection system

引用

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

作者： Kim, Byung-Joo Kim, Il-Kon Dept. of Info. and Comm. Youngsan University Yangsan Korea Republic of Dept. of Computer Science Kyungpook National University Daegu Korea Republic of

ISBN: (纸本)0769522963

Recently applying artificial intelligence, machine learning and data mining techniques to intrusion detection system are increasing. But most of researches are focused on improving the performance of classifier. Selecting important features from input data lead to a simplification of the problem, faster and more accurate detection rates. Thus selecting important features is an important issue in intrusion detection. Another issue in intrusion detection is that most of the intrusion detection systems are performed by off-line and it is not proper method for realtime intrusion detection system. In this paper, we develop the realtime intrusion detection system which combining on-line feature extraction method with Least Squares Support Vector Machine classifier. Applying proposed system to KDD CUP 99 data, experimental results show that it have remarkable performance compared to off-line intrusion detection system. © 2005 ieee.

关键词： pattern recognition systems

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Extraction of illusory linear clues in perspectively skewed documents

Extraction of illusory linear clues in perspectively skewed ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： M. Pilu Hewlett Packard Laboratories Bristol UK

ISBN: (纸本)0769512720

The article deals with the recovery of illusory linear clues from perspectively skewed documents, with the purpose of using them for rectification. The computational approach proposed implements the perceptual organization principles implicitly used in textual layouts. The numerous examples provided show that the method is robust and viewpoint and scale invariant.

关键词： Cameras Robustness Face detection Image edge detection Text analysis Laboratories Detectors Optical character recognition software Geometry Image segmentation

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"How many planar viewing surfaces are there in noncentral catadioptric cameras?" Towards singe-image localization of space lines

"How many planar viewing surfaces are there in noncentral ca...

引用

conference on computer vision and pattern recognition (cvpr)

作者： V. Caglioti S. Gasparini Dipartimento di Elettronica e Informazione Politecnico di Milano Milan Italy

In-door environments often contain several straight line segments. The 3D reconstruction of such environments can thus reduce to the localization of lines in the 3D space. Multi-view reconstruction requires the solution of the correspondence problem. The use of a single image to localize space lines is attractive, since the correspondence problem can be avoided. However, using a perspective camera (or a central one), a line can not be localized, since its viewing surface is planar, and hence it can contain infinite lines other than the correct one. In this paper we study the number of planar viewing surfaces for a general class of catadioptric cameras, constituted by an axial symmetric mirror and a perspective camera placed at generic relative position. We show that, under broad conditions, there is only a discrete set of planar viewing surfaces for the considered class of cameras. This result establishes a qualitative difference with respect to axial-symmetric cameras (e.g., catadioptric cameras constituted by an axial-symmetric mirror plus a perspective camera, whose viewpoint is constrained to be on the mirror axis), where an infinite set of planar viewing surfaces exists. Then, some conditions are derived for the localization of lines in the 3D space from single images. Preliminary experiments are also reported.

关键词： Cameras Mirrors Image reconstruction Surface reconstruction Image segmentation Layout Manufacturing computer society computer vision pattern recognition

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Group motion segmentation using a Spatio-Temporal Driving Force Model

Group motion segmentation using a Spatio-Temporal Driving Fo...

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conference on computer vision and pattern recognition (cvpr)

作者： Ruonan Li Rama Chellappa Department of Electrical and Computer Engineering and Center for Automation Research UMIACS University of Maryland College Park MD USA

We consider the `group motion segmentation' problem and provide a solution for it. The group motion segmentation problem aims at analyzing motion trajectories of multiple objects in video and finding among them the ones involved in a `group motion pattern'. This problem is motivated by and serves as the basis for the `multi-object activity recognition' problem, which is currently an active research topic in event analysis and activity recognition. Specifically, we learn a Spatio-Temporal Driving Force Model to characterize a group motion pattern and design an approach for segmenting the group motion. We illustrate the approach using videos of American football plays, where we identify the offensive players, who follow an offensive motion pattern, from motions of all players in the field. Experiments using GaTech Football Play Dataset validate the effectiveness of the segmentation algorithm.

关键词： Motion segmentation computer vision Motion analysis pattern analysis pattern recognition Automation Educational institutions Change detection algorithms Motion detection Legged locomotion

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A fast method to detect and recognize scaled and skewed road signs

A fast method to detect and recognize scaled and skewed road...

引用

7th International conference on Advanced Concepts for Intelligent vision Systems, ACIVS 2005

作者： Liou, Yi-Sheng Duh, Der-Jyh Chen, Shu-Yuan Hsieh, Jun-Wei Department of Computer Science and Engineering Yuan Ze University 135 Yuan-Tung Road ChungLi TaoYuan 320 Taiwan Department of Electrical Engineering Yuan Ze University 135 Yuan-Tung Road ChungLi TaoYuan 320 Taiwan

ISBN: (纸本)354029032X

A fast method to detect and recognize scaled and skewed road signs is proposed in this paper. The input color image is first quantized in HSV color model. Border tracing those regions with the same colors as road signs is adopted to find the regions of interest (ROI). Verification is then performed to find those ROIs satisfying specific constraints as road sign candidates. The candidate regions are extracted and normalization is automatically calculated to handle scaled and skewed road signs. Finally, matching based on distance maps is adopted to measure the similarity between the scene and model road signs to accomplish recognition. Experimental results show that the proposed method is effective and efficient, even for scaled and skewed road signs in complicated scenes. On the average, it takes 4-50 and 11 ms for detection and recognition, respectively. Thus, the proposed method is adapted to be implemented in real time. © Springer-Verlag Berlin Heidelberg 2005.

关键词： pattern recognition

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A Shape Representation for Planar Curves by Shape Signature Harmonic Embedding

A Shape Representation for Planar Curves by Shape Signature ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Sang-Mook Lee A.L. Abbott N.A. Clark P.A. Araman Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA SRS-4702 USDA Forest Service Blacksburg VA USA

This paper introduces a new representation for planar curves. From the well-known Dirichlet problem for a disk, the harmonic function embedded in a circular disk is solely dependent on specified boundary values and can be obtained from Poisson’s integral formula. We derive a discrete version of Poisson’s formula and assess its harmonic properties. Various shape signatures can be used as boundary values, whereas only the corresponding Fourier descriptors are needed for the framework. The proposed approach is similar to a scale space representation but exhibits greater generality by accommodating using any type of shape signature. In addition, it is robust to noise and computationally efficient, and it is guaranteed to have a unique solution. In this paper, we demonstrate that the approach has strong potential for shape representation and matching applications.

关键词： Shape Kernel computer vision USA Councils Poisson equations Harmonic analysis Power harmonic filters Low pass filters Embedded computing US Department of Agriculture

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