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检索条件"任意字段=4th Canadian Conference on Computer and Robot Vision"

共 476 条记录，以下是321-330 订阅

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I Remember Seeing this Video: Image Driven Search in Video Collections

I Remember Seeing This Video: Image Driven Search in Video C...

引用

10th International conference on computer and robot vision (CRV)

作者： Wang, Zheng Qureshi, Faisal Z. Univ Ontario Inst Technol Fac Sci Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9780769549835

We present a novel technique for image driven shot retrieval in video data. Specifically, given a query image, our method can efficiently pick the video segment containing that image. Video is first divided into shots. Each shot is described using an embedded hidden Markov model (EHMM). the EHMM is trained on GIST-like descriptors of frames in that shot. the trained EHMM computes the likelihood that a query image belongs to the shot. A Support Vector Machine classifier is trained for each EHMM. the classifier provides a yes/no decision given the likelihood value produced by its EHMM. Given a collection of shot models from one or more videos, the proposed technique can efficiently decide whether or not an image belongs to a video by identifying the shot most likely to contain that image. the proposed technique is evaluated on a realistic dataset.

关键词： Embedded hidden Markov model (EHMM) GIST-like shot model

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Topic Models for Image Localization

Topic Models for Image Localization

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10th International conference on computer and robot vision (CRV)

作者： Wang, Zheng Qureshi, Faisal Z. Univ Ontario Inst Technol Fac Sci Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9780769549835

We present a new scheme for partitioning geo-tagged reference image database in an effort to speed up (query) image localization while maintaining acceptable localization accuracy. Our method learns a topic model over the reference database, which in turn is used to divide the reference database into scene groups. Each scene group consists of "visually similar" images as determined by the topic model. Next raw Scale-Invariant Feature Transform (SIFT) features are collected from every image in a scene group a Fast Library for Approximate Nearest Neightbours (FLANN) index is constructed. Given a query image, first its scene group is determined using the topic model and then its SIFT features are matched against the corresponding FLANN index. the query image is localized using the location information from the visually similar images in the reference database. We evaluate our approach on Google Map Street View dataset and demonstrate that our method outperforms a competing technique.

关键词： image localization topic models SIFT FLANN visual words

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Reconstructing 3D Buildings from LIDAR using Level Set Methods

Reconstructing 3D Buildings from LIDAR using Level Set Metho...

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10th International conference on computer and robot vision (CRV)

作者： Khattak, Saad R. Buckstein, Daniel S. Hogue, Andrew Univ Ontario Inst Technol GAMER Lab Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9780769549835

We present a novel approach to reconstructing cities and buildings from LIDAR data using level set methods. Traditional approaches to building extraction from LIDAR data use image segmentation algorithms to determine the outlines of rooftops, estimation of height/depth maps, polygonal mesh generation and extrusion to generate 3D models resulting in buildings with high quality rooftops but flat sides with little or no detail shown on vertical surfaces (e. g. overhangs and windows on walls). Texturing these flat side polygons with aerial and geo-registered ground imagery create acceptable photo-realistic models although the resulting buildings are generally not geometrically accurate causing stretching and waviness in texture-mapping. Our approach uses the LIDAR data directly as constraints in a variational framework and can estimate the geometry more accurately and demonstrate its effectiveness with simulated data.

关键词： LIDAR level set methods distance field building reconstruction urban LIDAR 3D reconstruction 3D

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Robust Structure from Motion of Nonrigid Objects in the Presence of Outlying and Missing Data

Robust Structure from Motion of Nonrigid Objects in the Pres...

引用

10th International conference on computer and robot vision (CRV)

作者： Wang, Guanghui Zelek, John S. Wu, Q. M. Jonathan Univ Waterloo Dept Syst Design Engn 200 Univ Ave West Waterloo ON N2L 3G1 Canada Univ Windsor Dept Elect & Comp Engn Windsor ON N9B 3P4 Canada

ISBN: (纸本)9780769549835

the paper focuses on robust 3D structure from motion of nonrigid objects from uncalibrated image sequences. A new affine factorization algorithm is first proposed to avoid the difficulty in image alignment for imperfect data, followed by a robust factorization scheme to handle outlying and missing data. the novelty and main contributions of the paper are as follows: (i) as a new addition to previous nonrigid structure from motion, the proposed factorization algorithm can perfectly handle imperfect tracking data;(ii) it is demonstrated that the image reprojection residuals are in general proportional to the error magnitude of the tracked features. thus, the outliers can be detected directly from the residuals, which are then used to estimate the uncertainties of the image measurement;and (iii) the robust factorization scheme is proved empirically to be more efficient and more accurate than other robust algorithms. the proposed approach is validated and evaluated by extensive experiments on synthetic data and real image sequences.

关键词： computer vision structure from motion nonrigid factorization robust algorithm

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Shape Recognition based on Shape-Signature Identification and Condensibility: Application to Underwater Imagery

Shape Recognition based on Shape-Signature Identification an...

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4th National conference on computer vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)

作者： Banerjee, Jeet Ray, Ranjit Vadali, Siva Ram Krishna Layek, Ritwik Kumar Shome, Sankar Nath Indian Inst Technol Elect & Elect Commun Dept Kharagpur 721302 W Bengal India CSIR Cent Mech Engn Res Inst Robot & Automat Div Durgapur 713209 W Bengal India

ISBN: (纸本)9781479915880

In this paper, a shape recognition method is proposed for a few common geometrical shapes including straight line, circle, ellipse, triangle, quadrilateral, pentagon and hexagon. In the present work, two indices namely Unique Shape Signature (USS) and Condensibility (C) are employed for shape recognition of an object. Using the USS index, all the above mentioned non-circular shapes are neatly recognized, whereas, the C index recognized the circular objects. An added advantage of the proposed method is that it can further differentiate triangles, quadrilaterals and both symmetric and non-symmetric shapes of pentagon and hexagon using distance variance (Var(d(si))) parameter calculated from USS. Applying the proposed method on above mentioned shapes, an overall recognition rate of 98.80% is achieved on several simulated and real objects of different shapes. Proposed method has also been compared with two existing methods, presents better result. Performance of the proposed method is illustrated by applying it on underwater images and it is observed to perform satisfactory on all the images under test.

关键词： C (programming language)

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A Dynamic Bayesian Framework for Motion Segmentation

A Dynamic Bayesian Framework for Motion Segmentation

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10th International conference on computer and robot vision (CRV)

作者： thanh Minh Nguyen Wu, Q. M. Jonathan Univ Windsor Dept Elect & Comp Engn Windsor ON N9B 3P4 Canada

ISBN: (纸本)9780769549835

Dynamic textures are sequences of images of moving scenes in time that are common in natural scenes and play an important role in video content analysis. this paper presents a new dynamic Bayesian framework for segmentation of dynamic textures. First, we formulate the problem in the Bayesian framework using mixture model theory. the major advantage of our approach is that it provides a natural way to cluster data based on the components of the mixture that generated it. Second, in order to model the distribution of observed data, only grayscale information is taken into consideration of the existing mixture models. In order to overcome this problem, a new distribution is presented in this paper. the advantage of the proposed distribution is that it has the flexibility to fit different kinds of observed data and is more reliable for changes of noise and contrast levels. Finally, expectation maximization (EM) algorithm is adopted to maximize the lower bound on the data log-likelihood and to optimize the parameters. the proposed model is successfully compared to the state of the arts dynamic texture segmentation approaches. Numerous experiments are presented where our model is tested on various simulated and natural real-world dynamic textures.

关键词： Dynamic textures segmentation Bayesian framework linear dynamical system EM algorithm

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Tracking Severe Storms using a Pseudo Storm Concept

Tracking Severe Storms using a Pseudo Storm Concept

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10th International conference on computer and robot vision (CRV)

作者： Zhang, Yong Mercer, Robert E. Barron, John L. Joe, Paul Univ Western Ontario Dept Comp Sci London ON N6A 5B7 Canada King City Radar Stn Meteorol Services of Canada Toronto ON M3H 5T4 Canada

ISBN: (纸本)9780769549835

Tracking storms in radar images can be conceived of as a problem of tracking deformable objects. Our current relaxation labelling-based tracking algorithm that represents these deformable objects as "fuzzy" points can track objects that undergo shape deformations. One other type of deformation is the splitting of an object into multiple objects or the merging of multiple objects into one object from one image to the next. With our current algorithm, tracks are interrupted when such events happen in image sequences. We remove this deficiency of the current algorithm by adding the concept of a Pseudo Storm to its representational repertoire. With only minor modifications to the current algorithm, the new algorithm can track deformable objects that undergo both merging and splitting events. the new pseudo storm tracking algorithm outperforms our previous storm tracking algorithm for Great Lakes Doppler precipitation datasets.

关键词： Tracking Fuzzy Algebra Relaxation Labelling Algorithm Merging and Splitting Storms Pseudo Storm Doppler Radar

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A robot simulation system for self-location by using field visual information

A robot simulation system for self-location by using field v...

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2013 4th International conference on Material and Manufacturing Technology, ICMMT 2013

作者： Wang, Jian Rong Yu, Yang Wei, Jian Guo Yu, Mei School of computer science and technology Tianjin University Tianjin China School of computer software Tianjin University Tianjin China

ISBN: (纸本)9783037857526

this Paper will introduce methods used to resolve self-location problem of humanoid robots. there are two method that will be mentioned in this paper. A traditional method which uses marks and flags on the soccer field for robot location will be introduced at first. this paper will also discuss how to solve the singularity problem in traditional self-location method. the optimization self-location method which uses sidelines on the soccer field will be introduced at the same time. this paper will introduce how to mapping the field sidelines in vision to the field sidelines of soccer field. this method is implemented and tested in Robocup 3D Soccer Simulation League. the results show that the accuracy of self-location method will be increased by taking full use of soccer field sidelines in vision information. © (2013) Trans Tech Publications, Switzerland.

关键词： Location

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A High-precision Binocular Measurement System

A High-precision Binocular Measurement System

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4th International conference on Computing, Control and Industrial Engineering (CCIE 2013)

作者： Fu Yue-gang Jin Fan-hao Changchun Univ Sci & Technol Changchun 130022 Peoples R China

ISBN: (纸本)9783037858813

the system uses three-dimensional measurement of binocular vision theory, through optical, mechanical, computer and other aspects of the technology to measure the target without contact, and up to a certain precision. In the high-voltage area, high-altitude target,and the target which is not easy to touch, there is a unique measure advantage. Binocular stereo vision is based on the principle of parallax and using imaging devices from different locations to obtain two images of the measured object and obtain three dimensional geometric of target by positional deviation between corresponding points in computer image. Binocular stereo currently used in four areas: robot navigation, micro operating system parameter detection, three-dimensional measurements and virtual reality. In addition, the system not only to measure the length of the distant object, the system can also be used to measure the width, surface area, height and tilt angle. As the tip of an optical imaging technology this system has a broad application prospects in the future.

关键词： non-contact optical measurement binocular vision

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Handheld three-Dimensional Pipe Measurement System with a Slit-Ray Projector

Handheld Three-Dimensional Pipe Measurement System with a Sl...

引用

4th International conference on Graphic and Image Processing (ICGIP)

作者： Kawasue, Kikuhito Komatsu, Takayuki Yoshida, Kumiko Miyazaki Univ Dept Environm Robot 1-1 Gakuen Kibandai Nishi Miyazaki 8892192 Japan Koyo Machinery Works Co Ltd Nobeoka Japan

ISBN: (纸本)9780819495662

We propose a point cloud data acquisition system that employs slit ray projection. In this system, a slit laser projector and a high-resolution CCD camera are connected to a Microsoft Kinect Sensor. the system is sufficiently compact that it can be hand held. In measurements of pipes, the user directs the laser slit ray at the measurement target. Kinect then detects point cloud data while the CCD camera simultaneously detects the laser streak generated on the target surface. the user manually scans the system by directing the laser slit ray along the measurement pipe. the point cloud data obtained by Kinect is used to determine the movement of the system by adjusting overlapping data in consecutive frames using the ICP (Iterative Closest Point) algorithm. this permits the system to be freely scanned. the pipe cross section is estimated from data obtained by the slit-ray projection method. the three-dimensional shape of the pipe is constructed on a computer from the obtained cross sections.

关键词： computer vision Point cloud Pipe Measurement three dimensional Kinect

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