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2010 Canadian Conference on Computer and Robot Vision

May 31 2010-June 2 2010

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  • [Front cover]

    Publication Year: 2010, Page(s): C1
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  • [Title page i]

    Publication Year: 2010, Page(s): i
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  • [Title page iii]

    Publication Year: 2010, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2010, Page(s): iv
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  • Table of contents

    Publication Year: 2010, Page(s):v - viii
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  • Preface

    Publication Year: 2010, Page(s):ix - x
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  • Program Committee

    Publication Year: 2010, Page(s):xi - xiv
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  • Additional reviewers

    Publication Year: 2010, Page(s): xv
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  • Probabilistic Framework for Feature-Point Matching

    Publication Year: 2010, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB) | HTML iconHTML

    In this report we introduce a novel approach for determining correspondence in a sequence of images. We formulate a probabilistic framework that relates a feature's appearance and its position under relaxed statistical assumptions. We employ a Monte-Carlo approximation for the joint probability density of the feature position and its appearance that uses a flexible noise and motion model to genera... View full abstract»

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  • A PCA-Based Binning Approach for Matching to Large SIFT Database

    Publication Year: 2010, Page(s):9 - 16
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB) | HTML iconHTML

    A method for efficiently finding SIFT correspondences in large keypoint archives by separating a database into bins - using the principal components of the SIFT descriptor vector as the binning criteria - is proposed. This technique builds upon our previous efforts to improve SIFT matching speed in image pairs, and will find correspondences approximately three times faster than FLANN - the approxi... View full abstract»

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  • Matching Maximally Stable Extremal Regions Using Edge Information and the Chamfer Distance Function

    Publication Year: 2010, Page(s):17 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7042 KB) | HTML iconHTML

    We consider the problem of image recognition using local features. We present a method for matching Maximally Stable Extremal Regions using edge information and the chamfer distance function. We represent MSERs using the Canny edges of their binary image representation in an affine normalized coordinate frame and find correspondences using chamfer matching. We evaluate the performance of our appro... View full abstract»

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  • Quasi-Random Scale Space Approach to Robust Keypoint Extraction in High-Noise Environments

    Publication Year: 2010, Page(s):25 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1770 KB) | HTML iconHTML

    A novel multi-scale approach is presented for the purpose of robust keypoint extraction in high-noise environments. A multi-scale representation of the noisy scene is computed using quasi-random scale space theory. A gradient second-order moment analysis is employed at each quasi random scale to identify initial keypoint candidates. Final keypoints and their characteristic scales are selected base... View full abstract»

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  • Bayesian Identity Clustering

    Publication Year: 2010, Page(s):32 - 39
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4477 KB) | HTML iconHTML

    Our goal is to establish how many different people are present in a set of N facial images, and determine the correspondence between people and images. Our approach is Bayesian: in the training phase, we learn a probabilistic generative model for face data. Individual identity is represented as a latent variable in this model, and is constrained to be identical when faces match. We use this model ... View full abstract»

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  • Automated Classification of Operational SAR Sea Ice Images

    Publication Year: 2010, Page(s):40 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1251 KB) | HTML iconHTML

    The automated classification of operational sea ice satellite imagery is important for ship navigation and environmental monitoring. Annually, thousands of large synthetic aperture radar (SAR) scenes are manually processed by the Canadian Ice Service (CIS) and pixel-level interpretation is not feasible. Trained ice analysts divide SAR images into ”polygon” areas and then identify the... View full abstract»

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  • Efficient Augmentation of the EKF Structure from Motion with Frame-to-Frame Features

    Publication Year: 2010, Page(s):47 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (274 KB) | HTML iconHTML

    The Extended Kalman Filter (EKF) is still one of the most widely used approaches for small scale Structure from Motion (SFM) and Simultaneous Localization And Mapping (SLAM) problems. However, the EKF does not have the ability to take into account the motion information carried by features matched only between two consecutive frames. This information is valuable because, when used appropriately, i... View full abstract»

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  • Real-Time Virtual Viewpoint Generation on the GPU for Scene Navigation

    Publication Year: 2010, Page(s):55 - 62
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1567 KB) | HTML iconHTML

    In this paper we present a method for achieving real-time view interpolation in a virtual navigation application that uses a collection of pre-captured panoramic views as a representation of the environment. In this context, viewpoint interpolation is essential to achieve smooth and realistic viewpoint transition while the user is moving from one panorama to another. In this proposed approach, vie... View full abstract»

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  • A Simple but Effective Approach to Video Copy Detection

    Publication Year: 2010, Page(s):63 - 70
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (590 KB) | HTML iconHTML

    Video copy detection is an important task with many applications, especially since detecting copies is an alternative to watermarking. In this paper we describe a simple, but efficient approach that is easy to parallelize, works well, and has low storage requirements. We represent each video frame by a count of the number of SURF interest points in each of 4 by 4 quadrants, a total of 16 bytes per... View full abstract»

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  • Texture CLassification Using Compressed Sensing

    Publication Year: 2010, Page(s):71 - 78
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4628 KB) | HTML iconHTML

    This paper presents a simple, novel, yet very powerful approach for texture classification based on compressed sensing and bag of words model, suitable for large texture database applications with images obtained under unknown viewpoint and illumination. At the feature extraction stage, a small set of random features are extracted from local image patches. The random features are embedded into the... View full abstract»

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  • The Effect of Colour Space on Image Sharpening Algorithms

    Publication Year: 2010, Page(s):79 - 85
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB) | HTML iconHTML

    The processing of colour images to improve sharpness is nearly always been realized in RGB colour space. This paper explores the effects of using different colour spaces on the application of image sharpening algorithms. Part of the goal is to determine which colour space provides a result which does not differ immeasurably from the original with respect to chromaticity. Unsharp masking, and fuzzy... View full abstract»

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  • Automated Filter Parameter Selection Using Measures of Noiseness

    Publication Year: 2010, Page(s):86 - 93
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (668 KB) | HTML iconHTML

    Despite the vast body of literature on image denoising, relatively little work has been done in the area of automatically choosing the filter parameters that yield optimal filter performance. The choice of these parameters is crucial for the performance of any filter. In the literature, some independence-based criteria have been proposed, which measure the degree of independence between the denois... View full abstract»

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  • Organ Recognition Using Gabor Filters

    Publication Year: 2010, Page(s):94 - 100
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6176 KB) | HTML iconHTML

    The aim of this research is to investigate the possibility of using medical image information to extract unique features and classify different patients' organ tissues, such as the prostate, based on concepts related to what is already done in iris recognition. This paper therefore presents a new approach in medical imaging, an organ recognition system, tested on a standard database of grey scale ... View full abstract»

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  • Multispectral Face Recognition in Texture Space

    Publication Year: 2010, Page(s):101 - 106
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (910 KB) | HTML iconHTML

    This work introduces the use of LBP like texture descriptors for efficient multispectral face recognition. LBP has been widely used in visible spectrum face recognition. This work extend its use to non visible spectrums (active and passive infrared spectrums). Local Binary Pattern (LBP) and Local Ternary Pattern (LTP) descriptors are used. Also a simple differential LTP descriptor (DLT) is introdu... View full abstract»

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  • Curious George: An Integrated Visual Search Platform

    Publication Year: 2010, Page(s):107 - 114
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1736 KB) | HTML iconHTML

    This paper describes an integrated robot system, known as Curious George, that has demonstrated state-of-the-art capabilities to recognize objects in the real world. We describe the capabilities of this system, including: the ability to access web-based training data automatically and in near real-time, the ability to model the visual appearance and 3D shape of a wide variety of object categories,... View full abstract»

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  • Automatic Position Registration of Street-level Fisheye Images into Aerial Image Using Line Structures and Mutual Information

    Publication Year: 2010, Page(s):115 - 121
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8421 KB) | HTML iconHTML

    Geospatial imaging is a relatively new term which is increasingly becoming more important for both government and commercial sectors. Images taken at street level can be geo-coded using a camera equipped with a built-in GPS device. However, the location that GPS provides are prone to errors up to 10 meters. In this paper we propose an algorithm to find the accurate location of a street-level image... View full abstract»

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  • Extracting outlined planar clusters of street facades from 3D point clouds

    Publication Year: 2010, Page(s):122 - 129
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (804 KB) | HTML iconHTML

    This paper presents an approach for extracting 3D outlined planar clusters of street facades. Terrestrial laser data are acquired using a Mobile Mapping System (MMS). Mapping of street facades is of great interest in various digital mapping and robotic research topics. After a filtering step of the 3D point cloud, the dominant hypothetical facade planes are detected using an adapted Progressive Pr... View full abstract»

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