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Computer and Robot Vision (CRV), 2012 Ninth Conference on

Date 28-30 May 2012

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Displaying Results 1 - 25 of 73
  • [Front cover]

    Publication Year: 2012, Page(s): C1
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  • [Title page i]

    Publication Year: 2012, Page(s): i
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  • [Title page iii]

    Publication Year: 2012, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012, Page(s): iv
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  • Table of contents

    Publication Year: 2012, Page(s):v - ix
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  • Preface - English

    Publication Year: 2012, Page(s): x
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  • Preface - Francais

    Publication Year: 2012, Page(s): xi
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  • Program Committee and Reviewers

    Publication Year: 2012, Page(s):xii - xiii
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  • Multi-Scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements

    Publication Year: 2012, Page(s):1 - 8
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (676 KB) | HTML iconHTML

    Improving laser range data acquisition speed is important for many robotic applications such as mapping and localization. One approach to reducing acquisition time is to acquire laser range data through a dynamically small subset of measurement locations. The reconstruction can then be performed based on the concept of compressed sensing (CS), where a sparse signal representation allows for signal... View full abstract»

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  • On the Repeatability of 3D Point Cloud Segmentation Based on Interest Points

    Publication Year: 2012, Page(s):9 - 16
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2144 KB) | HTML iconHTML

    Object recognition systems that use 3D point cloud as the input data are potentially subjected to the problems of signal attenuation at a local level, or occlusions in cluttered scenes. In an attempt to develop more robust methods in handling these problems, the present paper introduces the notion of repeatable regions through a 3D region segmentation algorithm based on the extraction of repeatabl... View full abstract»

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  • Probabilistic Obstacle Detection Using 2 1/2 D Terrain Maps

    Publication Year: 2012, Page(s):17 - 23
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1998 KB) | HTML iconHTML

    Navigating unstructured environments requires reliable perception that generates an appropriate world representation. This representation must encompass all types of impediments to traversal, whether they be insurmountable obstacles, or mobility inhibitors such as soft soil. Traditionally, traversability and obstacle avoidance have represented separate capabilities with individual rangefinders ded... View full abstract»

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  • Adaptive RGB-D Localization

    Publication Year: 2012, Page(s):24 - 31
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1035 KB) | HTML iconHTML

    The advent of RGB-D cameras which provide synchronized range and video data creates new opportunities for exploiting both sensing modalities for various robotic applications. This paper exploits the strengths of vision and range measurements and develops a novel robust algorithm for localization using RGB-D cameras. We show how correspondences established by matching visual SIFT features can effec... View full abstract»

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  • Planar Segmentation of RGBD Images Using Fast Linear Fitting and Markov Chain Monte Carlo

    Publication Year: 2012, Page(s):32 - 39
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1221 KB) | HTML iconHTML

    With the advent of affordable RGBD sensors such as the Kinect, the collection of depth and appearance information from a scene has become effortless. However, neither the correct noise model for these sensors, nor a principled methodology for extracting planar segmentations has been developed yet. In this work, we advance the state of art with the following contributions: we correctly model the Ki... View full abstract»

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  • Improved Edge Representation via Early Recurrent Inhibition

    Publication Year: 2012, Page(s):40 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2560 KB) | HTML iconHTML

    This paper describes a biologically motivated computational model, termed as early recurrent inhibition, to improve edge representation. The computation borrows the idea from the primate visual system that visual features are calculated in the two main visual pathways with different speeds and thus one can positively affect the other via early recurrent mechanisms. Based on the collected results, ... View full abstract»

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  • Information Fusion in Visual-Task Inference

    Publication Year: 2012, Page(s):48 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (982 KB) | HTML iconHTML

    Eye movement is a rich modality that can provide us with a window into a person's mind. In a typical human-human interaction, we can get information about the behavioral state of the others by examining their eye movements. For instance, when a poker player looks into the eyes of his opponent, he looks for any indication of bluffing by verifying the dynamics of the eye movements. However, the info... View full abstract»

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  • Perceptual Structure Distortion Ratio: An Image Quality Metric Based on Robust Measures of Complex Phase Order

    Publication Year: 2012, Page(s):56 - 62
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2935 KB) | HTML iconHTML

    This paper investigates a novel perceptual driven approach to image quality assessment using complex wavelets called PSDR (Perceptual Structure Distortion Ratio). The measure is grounded in the modeling of the human vision system as a frequency-based processing system and that perceptual structural significance can be derived based on the concept of complex phase order. Built upon a robust complex... View full abstract»

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  • Difference of Circles Feature Detector

    Publication Year: 2012, Page(s):63 - 69
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2032 KB) | HTML iconHTML

    Feature detection is a crucial step in many Computer Vision applications such as matching, tracking, visual odometry and object recognition, etc. Detecting robust features that are persistent, rotation-invariant, and quickly calculated is a major problem in computer vision. Feature detectors using the difference of Gaussian (DoG) are computationally expensive, however, if the DoG is used with imag... View full abstract»

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  • Fast Surface Denoising Using Finite Volumes of the Dual Mesh

    Publication Year: 2012, Page(s):70 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2680 KB) | HTML iconHTML

    In this paper we present a surface denoising technique using the vertex-centered finite volume method in conjunction with the mesh covariance fractional anisotropy. The approach is computationally fast and able to effectively remove undesirable noise while preserving prominent geometric features of a 3D mesh surface such as curved surface regions, sharp edges, and fine details. Extensive experimen... View full abstract»

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  • PEGUS: An Image-Based Robust Pose Estimation Method

    Publication Year: 2012, Page(s):78 - 85
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (258 KB) | HTML iconHTML

    In this paper, a robust pose (i.e., position and orientation) estimation algorithm using two-views captured by a calibrated monocular camera is presented. A collection of pose hypotheses is obtained when more than the minimum number of feature points required to uniquely identify a pose are available in both the images. The pose hypotheses - unit quaternion and unit translation vectors - lie on th... View full abstract»

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  • A Learning Probabilistic Approach for Object Segmentation

    Publication Year: 2012, Page(s):86 - 93
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (743 KB) | HTML iconHTML

    This paper proposes a new method for figure-ground image segmentation based on a probabilistic learning approach of the object shape. Historically, segmentation is mostly defined as a data-driven bottom-up process, where pixels are grouped into regions/objects according to objective criteria, such as region homogeneity, etc. In particular, it aims at creating a partition of the image into contiguo... View full abstract»

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  • Motion Adjustment for Extrinsic Calibration of Cameras with Non-overlapping Views

    Publication Year: 2012, Page(s):94 - 100
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (779 KB) | HTML iconHTML

    This paper adresses the issue of calibrating multiple cameras on a mobile platform. Due to decreasing sensor prices and increasing processing performance, the use of multiple cameras in vehicles becomes an attractive possibility for environment perception. To avoid restrictions relating to the camera arrangement, we focus on non-overlapping camera configurations. Hence, we resign the usage of corr... View full abstract»

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  • A Real Time Augmented Reality System Using GPU Acceleration

    Publication Year: 2012, Page(s):101 - 108
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2015 KB) | HTML iconHTML

    Augmented Reality (AR) is an application of computer vision that is processor intensive and typically suffers from a trade-off between robust view alignment and real time performance. Real time AR that can function robustly in variable environments is a process difficult to achieve on a PC (personal computer) let alone on the mobile devices that will likely be where AR is adopted as a consumer app... View full abstract»

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  • Accelerometer Localization in the View of a Stationary Camera

    Publication Year: 2012, Page(s):109 - 116
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    This paper addresses the problem of localizing an accelerometer in the view of a stationary camera as a first step towards multi-model activity recognition. This problem is challenging as accelerometers are visually occluded, they measure proper acceleration including effects of gravity and their orientation is unknown and changes over time relative to camera viewpoint. Accelerometers are localize... View full abstract»

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  • Recurrent Refinement for Visual Saliency Estimation in Surveillance Scenarios

    Publication Year: 2012, Page(s):117 - 124
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (843 KB) | HTML iconHTML

    In recent years, many different proposals for visual saliency computation have been put forth, that generally frame the determination of visual saliency as a measure of local feature contrast. There is however, a paucity of approaches that take into account more global holistic elements of the scene. In this paper, we propose a novel mechanism that augments the visual representation used to comput... View full abstract»

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  • Coarse Head Pose Estimation using Image Abstraction

    Publication Year: 2012, Page(s):125 - 130
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1512 KB) | HTML iconHTML

    We present an algorithm to estimate the pose of a human head from a single image. It builds on the fact that only a limited set of cues are required to estimate human head pose and that most images contain far too many details than what are required for this task. Thus, non-photorealistic rendering is first used to eliminate irrelevant details from the picture and accentuate facial features critic... View full abstract»

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