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检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

共 1646 条记录，以下是1471-1480 订阅

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Learning to recognize generic visual categories using a hybrid structural approach

Learning to recognize generic visual categories using a hybr...

引用

IEEE international conference on image processing

作者： W. Burger M. Burge W. Mayr Department of Systems Science Computer Vision Laboratory Johannes Kepler University Linz Linz Austria

We address the problem of describing, recognizing, and learning generic, free-form objects in real-world scenes. For this purpose, we have developed a hybrid appearance-based approach where objects are encoded as loose collections of parts and relations between neighboring parts. The key features of this approach are: part decomposition based on local structure segmentation derived from multi-scale wavelet filters, flexible and efficient recognition by combining weak structural constraints, and learning and generalization of generic object categories (with possibly large intra-class variability) from real examples.

关键词： image recognition Data mining image segmentation Gabor filters Probes Layout Frequency computer vision Laboratories Availability

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A nonparametric approach for detecting lines and curves

A nonparametric approach for detecting lines and curves

引用

IEEE international conference on image processing

作者： G. Lim M. Alder Centre for Intelligent Information Processing Systems University of Western Australia Australia

The process of detecting lines and curves in an image is an important component of many pattern recognition and computer vision applications. There are well understood approaches to finding curves from a parametrised space of curves. In many practical cases, however, there exist arbitrary shape curves, and different types of curves in the same image. In addition, local perturbation noise can be added to the images. We propose a nonparametric method to overcome the above mentioned problems. The method is based on local modeling of the data. It does not require the specification of a parametric space of curves. It can be used to detect arbitrary curves and thus has a wider applicability than parametric approaches.

关键词： Shape Noise shaping computer vision Application software Clustering algorithms Intelligent systems Information processing Australia Pattern recognition Pixel

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Objective picture quality scale for video coding

Objective picture quality scale for video coding

引用

IEEE international conference on image processing

作者： Y. Horita M. Katayama T. Murai M. Miyahara Department of Electronics and Computer Science Faculty of Engineering Toyama University Toyama Japan School of Computer Science Japan Advanced Institute of Science and Technology Ishikawa Japan

To design the image communication system including human visual system systematically, the objective quality estimation method of the picture based on the model of the human vision is necessary. We develop the objective picture quality scale (PQSvideo) for video coding considering the relation between the physical distortion factors and the psychological picture estimation factors. The obtained cross correlation coefficient between the PQSvideo and the mean opinion score (MOS), becomes 0.978.

关键词： Video coding Psychology Humans Decoding image coding computer science image communication Visual system Multimedia systems image quality

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Automatic registration of SPOT images and digitized maps

Automatic registration of SPOT images and digitized maps

引用

IEEE international conference on image processing

作者： M. Roux Département IMA Ecole Nationale Supérieure des TéIécommunications Paris France

This paper presents a new method for the automatic registration of SPOT images and digitised maps. Direct matching of high level features (urban areas and crossroads) is performed using an hypothesis generation and propagation scheme. Results are presented for the registration of SPOT images and maps covering the same scene, as well as for the retrieval of partial maps into a large SPOT image.

关键词： Urban areas Roads Pixel Feature extraction Layout computer vision Data mining Filters image retrieval Focusing

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Incremental motion segmentation in low texture

Incremental motion segmentation in low texture

引用

IEEE international conference on image processing

作者： P.M.Q. Aguiar J.M.F. Moura Instituto de Sistemas e Robótica Instituto Superior Técnico Lisboa Portugal Electrical and Computer Engineering Department Carnegie Mellon University Pittsburgh PA USA

The paper studies segmentation of moving objects with low texture in a low textured background. We describe an algorithm that resolves the difficulties associated with other approaches by integrating over time the information in the video sequence. We motivate and demonstrate our approach by building the background and moving object world images, important constructs in generative video.

关键词： Motion segmentation computer vision Video sequences image segmentation Cameras image motion analysis Lighting Buildings Bandwidth Background noise

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Visual depth perception based on optical blur

Visual depth perception based on optical blur

引用

IEEE international conference on image processing

作者： J. Honig B. Heit J. Bremont French-German Institute for Automation and Robotics-IAR CRAN-CNRS URA 821 University Henri Poincaré Nancy I Vandoeuvre-les-Nancy France

The depth perception we present in this paper is based on monocular computer vision. The method exploits the physical effect that the imaging properties of an optical system depend upon the acquisition parameters and the object distance. Our approach is working along the edges. The basic principle is to compare the blur in two defocused images of the same scene taken with different apertures (depth from defocus). To increase speed and precision our algorithm is working only at the exact position of ramp edges, which are determined by a biological model of the visual cortex.

关键词： Biomedical optical imaging Light sources Focusing computer vision Optical sensors Optical filters Robotics and automation Optical imaging Layout Apertures

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Expert computer vision based crab recognition system

Expert computer vision based crab recognition system

引用

IEEE international conference on image processing

作者： K.J. Han A.H. Tewfik Dept. of Electr. Eng. Minnesota Univ. Minneapolis MN USA Department of Electrical Engineering University of Minnesota Minneapolis MN USA

Two species of crabs are Chionoecetes bairdi and C. opilio and their hybrids live in the Bering Sea. The two species differ in generic, morphological and morphometric characteristics. Inter breeding of C. bairdi and C. opilio results in a hybrid form with intermediate morphological and morphometric characteristics. These species were determined by analyzing the empirical covariance matrices associated with the two species and the hybrid and by taking into account the statistical reliability of the estimated principal components. A modified eigen image classifier is implemented based on the assumption that the data is drawn from multivariate Gaussian distributions with different means and covariance matrices. The clustering technique is introduced to minimize the misclassification rate of the eigen image classifier.

关键词： computer vision Low pass filters Nonlinear filters Filtering image edge detection Genetics Covariance matrix image analysis Gaussian distribution Protection

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Quick and clean: constraint-based vision for situated robots

Quick and clean: constraint-based vision for situated robots

引用

IEEE international conference on image processing

作者： A.K. Mackworth Laboratory for Computational Intelligence Department of Computer Science University of British Columbia Vancouver BC Canada

Knowledge-based vision for robots needs a radically new approach. The traditional approach has not made substantial progress for various reasons including the engineering problems of building systems based on a hybrid on-line/off-line paradigm. A new situated agent approach is presented. The constraint net model of Y. Zhang and A.K. Mackworth allows the designer to specify the robot's vision, control and motor systems uniformly as on-line systems. If the perceptual and control systems are designed as constraint-satisfying devices then the total robotic system, consisting of the robot symmetrically coupled to the environment, can be proven correct. Examples of this approach are given.

关键词： Robot vision systems Intelligent robots Design methodology Robot sensing systems Buildings Control systems Robot control Machine vision Hybrid intelligent systems Laboratories

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Integration of local fractal dimension and boundary edge in segmenting natural images

Integration of local fractal dimension and boundary edge in ...

引用

IEEE international conference on image processing

作者： J. Maeda V.V. Anh T. Ishizaka Y. Suzuki Department of Computer Science and Systems Engineering Muroran Institute of Technology Muroran Japan School of Mathematics Queensland University of Technology Brisbane QLD Australia

We present a method that integrates local fractal dimension and edge information into a region growing algorithm for the segmentation of natural images. We compare two methods of estimating the local fractal dimension in the proposed segmentation algorithm. One is a blanket method and the other is a Fourier-wavelet method. We also propose a technique to store the edge information not on a pixel itself but on a boundary between pixels in the region-edge integrating algorithm in order to use the edge information more effectively and to simplify the algorithm.

关键词： Fractals image segmentation Equations computer science Systems engineering and theory Mathematics Australia computer vision image processing Humans

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A control scheme for a data rate scalable video codec

A control scheme for a data rate scalable video codec

引用

IEEE international conference on image processing

作者： Ke Shen E.J. Delp Computer Vision and Iniage Processing Laboratory Purdue Multimedia Testbed Labratory School of Electrical Engineering Purdue University West Lafayette IN USA

We present a control scheme for a rate scalable video codec. We describe a wavelet based video codec with motion compensation used to reduce temporal redundancy. The prediction error frames are encoded using an embedded zerotree wavelet (EZW) approach which allows data rate scalability. Since motion compensation is used in the algorithm, the duality of the decoded video may decay due to the propagation of errors in the temporal domain. An adaptive motion compensation scheme is proposed to address this problem. We show that using our control scheme the quality of the decoded video can be maintained at any data rate.

关键词： Video codecs Decoding Motion compensation Scalability Redundancy Transform coding Video sequences Video compression Signal to noise ratio computer vision

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