By Topic

The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)

9-11 May 2005

Filter Results

Displaying Results 1 - 25 of 88
  • [Title page]

    Publication Year: 2005, Page(s):i - iii
    Request permission for commercial reuse | PDF file iconPDF (113 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2005, Page(s):v - x
    Request permission for commercial reuse | PDF file iconPDF (99 KB)
    Freely Available from IEEE
  • Preface

    Publication Year: 2005, Page(s): xi
    Request permission for commercial reuse | PDF file iconPDF (32 KB) | HTML iconHTML
    Freely Available from IEEE
  • Program Committee

    Publication Year: 2005, Page(s):xii - xiii
    Request permission for commercial reuse | PDF file iconPDF (27 KB)
    Freely Available from IEEE
  • An object detection system using image reconstruction with PCA

    Publication Year: 2005, Page(s):2 - 8
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB) | HTML iconHTML

    We present an object detection system that is applied to detecting pedestrians in still images, without assuming any a priori knowledge about the image. The system works as follows: In a first stage a classifier examines each location in the image at different scales. Then in a second stage the system tries to eliminate false detections based on heuristics. The classifier is based on the idea that... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Patch-duplets for object recognition and pose estimation

    Publication Year: 2005, Page(s):9 - 16
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1296 KB) | HTML iconHTML

    This paper describes a view-based method for object recognition and estimation of object pose from a single image. The method is based on feature vector matching and clustering. A set of interest points is detected and combined into pairs. A pair of patches, centered around each point in the pair, is extracted from a local orientation image. The patch orientation and size depends on the relative p... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Resampling 4D images using adaptive filtering

    Publication Year: 2005, Page(s):18 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    We present an adaptive filtering based methodology for resampling 3D time series images using an extension of the method presented by simultaneously reducing the artifacts due to image noise and resample the data on a finer grid along the time dimension. This provides a methodology for obtaining high quality image resampling without the disadvantages of staircase artifacts created by more common i... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Modeling prior shape and appearance knowledge in watershed segmentation

    Publication Year: 2005, Page(s):27 - 33
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    Watershed transform is widely used in image segmentation. However, its shortcomings such as over-segmentation and sensitivity to noise often make it unsuitable as an automatic tool for segmenting medical images. Utilizing prior shape knowledge has been demonstrated to improve robustness of medical image segmentation algorithms. In this paper, we propose a novel method for incorporating prior shape... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Identifying precursory cancer lesions using temporal texture analysis

    Publication Year: 2005, Page(s):34 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB) | HTML iconHTML

    This paper describes a method for the temporal analysis of texture in colposcopy. The objective is to find temporal texture patterns in order to detect precursory cancer lesions analyzing colposcopy video frames. Preprocessing of the frames is necessary in order to deal with patient movement and non uniform illumination. We use a stabilization algorithm based in a homography and to eliminate incor... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Variational Principles for Diffusion Weighted MRI Restoration and Segmentation

    Publication Year: 2005, Page(s): xiv
    Request permission for commercial reuse | PDF file iconPDF (25 KB) | HTML iconHTML
    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Segment-based hand pose estimation

    Publication Year: 2005, Page(s):42 - 49
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB) | HTML iconHTML

    The work presented here solves two major problems of hand pose recognition: (A) determining what pose is shown in a given, input picture and (B) detecting the presence of a known input pose in a given input video. It builds on the earlier work of Athitsos and Sclaroff (2003) toward solving problem A. Because that method relies upon lines found in the input data and requires computer-generated data... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A hierarchical nonparametric method for capturing nonrigid deformations

    Publication Year: 2005, Page(s):50 - 56
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    We present a novel approach for measuring deformations between image patches. Our algorithm is a variant of dynamic programming that is not inherently one-dimensional, and its scores are on a relative scale. The method is based on the combination of similarities between many overlapping sub-patches. The algorithm is designed to be robust to small deformations of parts at various positions and scal... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Two-stage image segmentation by adaptive thresholding and gradient watershed

    Publication Year: 2005, Page(s):57 - 64
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB) | HTML iconHTML

    Many images contain the coarse pieces and fine particles. Hence it is often important to segment the coarse pieces and fine particles using different segmentation techniques. In this paper, we combine adaptive thresholding and watershed transform in a two-stage image segmentation method, which has been used for oil-sand size analysis. We also present an image-retrieval-like approach to speed up si... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Detection of linear and cubic interpolation in JPEG compressed images

    Publication Year: 2005, Page(s):65 - 72
    Cited by:  Papers (62)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    A novel algorithm is introduced that can detect the presence of interpolation in images prior to compression as well as estimate the interpolation factor. The interpolation detection algorithm exploits a periodicity in the second derivative signal of interpolated images. The algorithm performs well for a wide variety of interpolation factors, both integer factors and non-integer factors. The algor... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An automatic segmentation combining mixture analysis and adaptive region information: a level set approach

    Publication Year: 2005, Page(s):73 - 80
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (640 KB) | HTML iconHTML

    In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a formulation of the region information by using the posterior probability of a mixture of general Gaussian (GG) pdfs, where each region is represented by a pdf. The segmentation is formulated by the minimization of an energ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Entropy-based image merging

    Publication Year: 2005, Page(s):81 - 86
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB) | HTML iconHTML

    Spacecraft docking using vision is a challenging task. Not least among the problems encountered is the need to visually localize the docking target. Here we consider the task of adapting the local illumination to assist in this docking. An online approach is developed that combines images obtained under different exposure and lighting conditions into a single image upon which docking decisions can... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An attentional framework for stereo vision

    Publication Year: 2005, Page(s):88 - 95
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB) | HTML iconHTML

    The necessity and utility of visual attention are discussed in the context of stereo vision in machines and primates. Specific problems that arise in this domain including binocular rivalry, and the deployment of attention in three-dimensional space are considered. Necessary conditions are outlined for achieving appropriate attentional behaviour in both the aforementioned domains. In this light, w... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • New multi-baseline stereo by counting interest points

    Publication Year: 2005, Page(s):96 - 103
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB) | HTML iconHTML

    This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting interest points in images is integrated with the framework of multi-baseline stereo. Even by a simple algorithm, depth can be determined without computing similarity measures such as SSD and NCC that have been used for tra... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Photometric stereo via locality sensitive high-dimension hashing

    Publication Year: 2005, Page(s):104 - 111
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (904 KB) | HTML iconHTML

    In this paper, we extend the new photometric stereo method of Hertzmenn and Seitz that uses many images of an object together with a calibration object. For each point in the registered collection of images, we have a large number of brightness values. Photometric stereo finds a similar collection of brightness values from the calibration object and overdetermines the surface normal. With a large ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Detection of occlusion edges from the derivatives of weather degraded images

    Publication Year: 2005, Page(s):114 - 120
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    Degradation of images of outdoor scenes caused by varying conditions of visibility can be exploited in order to get information on the scene. We propose two new methods for detecting occlusion edges between textured areas of a scene. These methods are based on the use of partial derivatives of two images acquired under different conditions of visibility. They were validated on images of both synth... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Topology inference for a vision-based sensor network

    Publication Year: 2005, Page(s):121 - 128
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique can use labels from reliable cameras systems, the algorithm is powerful enough to function using ambiguous tracking data. The method requires no prior knowledge of the relative locations of the cameras and operates under v... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 3D SSD tracking with estimated 3D planes

    Publication Year: 2005, Page(s):129 - 134
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB) | HTML iconHTML

    We present a tracking method where full camera position and orientation is tracked from intensity differences in a video sequence. The camera pose is calculated based on plane equations, and hence does not depend on point correspondences. The plane based formulation also allows additional constraints to be naturally added, e.g. perpendicularity between walls, floor and ceiling surfaces, co-planari... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Real-time video surveillance with self-organizing maps

    Publication Year: 2005, Page(s):136 - 143
    Cited by:  Papers (8)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (352 KB) | HTML iconHTML

    In this paper, we present an approach for video surveillance involving (a) moving object detection, (b) tracking and (c) normal/abnormal event recognition. The detection step uses an adaptive background subtraction technique with a shadow elimination model based on the color constancy principle. The target tracking involves a direct and inverse matrix matching process. The novelty of the paper lie... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Body tracking in human walk from monocular video sequences

    Publication Year: 2005, Page(s):144 - 151
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (688 KB) | HTML iconHTML

    This paper proposes a method to automatically track human body parts in the context of gait modelisation and recognition. The proposed approach is based on a five points human model (head, hands, and feet) where the points are detected and tracked independently. Tracking is fully automatic (no manual initialization of the five points) since it will be used in a real-time surveillance system. Feet ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Analysis of player actions in selected hockey game situations

    Publication Year: 2005, Page(s):152 - 159
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB) | HTML iconHTML

    We present a proof of concept system to represent and reason about hockey play. The system takes as input player motion trajectory data tracked from game video and supported by knowledge of hockey strategy, game situation and specific player profiles. The raw motion trajectory data consists of space-time point sequences of player position registered to rink coordinates. The raw data is augmented w... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.