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检索条件"任意字段=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops"

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Template-based paper reconstruction from a single image is well posed when the rulings are parallel

Template-based paper reconstruction from a single image is w...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Pierluigi Taddei Adrien Bartoli Politecnico di Milano Milan Italy LASMEA (CNRS UBP) Clermont Ferrand France

We deal with the 3D reconstruction of deformed paperlike surfaces given a template and a single perspective image, for which the internal camera parameters are known. The general problem is ill-posed. We show that when the surface rulings are parallel the problem is well-posed. Given a procedure to recover the rulings direction, this particular problem is equivalent to the reconstruction of a 2D curve seen from a set of ID camera pairs given a ID template. Paper can be physically modeled by exploiting local properties. This allows us to formulate the reconstruction problem by non linear variational optimization. We provide experimental results which validate our approach on simulated and real data.

关键词： Image reconstruction Surface reconstruction Cameras Boundary conditions Deformable models Head Shape Books Closed-form solution computer vision

来源：评论

学校读者我要写书评

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Interleaved pixel lookup for embedded computer vision

Interleaved pixel lookup for embedded computer vision

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Kota Yamaguchi Yoshihiro Watanabe Takashi Komuro Masatoshi Ishikawa Graduate School of Information Science and Technology University of Tokyo Tokyo Japan

This paper describes an in-depth investigation and implementation of interleaved memory for pixel lookup operations in computer vision. Pixel lookup, mapping between coordinates and pixels, is a common operation in computer vision, but is also a potential bottleneck due to formidable bandwidth requirements for real-time operation. We focus on the acceleration of pixel lookup operations through parallelizing memory banks by interleaving. The key to applying interleaving for pixel lookup is 2D block data partitioning and support for unaligned access. With this optimization of interleaving, pixel lookup operations can output a block of pixels at once without major overhead for unaligned access. An example implementation of our optimized interleaved memory for affine motion tracking shows that the pixel lookup operations can achieve 12.8 Gbps for random lookup of a 4x4 size block of 8-bit pixels under 100 MHz operation. Interleaving can be a cost-effective solution for fast pixel lookup in embedded computer vision.

关键词： computer vision Interleaved codes Pixel Hardware Bandwidth Acceleration Throughput Application software computer graphics Streaming media

来源：评论

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A parallel color-based particle filter for object tracking

A parallel color-based particle filter for object tracking

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Henry Medeiros Johnny Park Avinash Kak School of Electrical and Computer Engineering Purdue University Calumet West Lafayette IN USA

Porting well known computer vision algorithms to low power, high performance computing devices such as SIMD linear processor arrays can be a challenging task. One especially useful such algorithm is the color-based particle filter, which has been applied successfully by many research groups to the problem of tracking non-rigid objects. In this paper, we propose an implementation of the color-based particle filter suitable for SIMD processors. The main focus of our work is on the parallel computation of the particle weights. This step is the major bottleneck of standard implementations of the color-based particle filter since it requires the knowledge of the histograms of the regions surrounding each hypothesized target position. We expect this approach to perform faster in an SIMD processor than an implementation in a standard desktop computer even running at much lower clock speeds.

关键词： Particle filters Particle tracking Histograms Target tracking Smart cameras computer vision Concurrent computing Robustness High performance computing Clocks

来源：评论

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ToF-sensors: New dimensions for realism and interactivity

ToF-sensors: New dimensions for realism and interactivity

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Andreas Kolb Erhardt Barth Reinhard Koch Computer Graphics Group Center for Sensor Systems (ZESS) University of Siegen Germany Institute for Neuro and Bioinformatics University of Luebeck Germany Institute of Computer Science Christian-Albrechts University Germany

A growing number of applications depend on accurate and fast 3D scene analysis. Examples are object recognition, collision prevention, 3D modeling, mixed reality, and gesture recognition. The estimation of a range map by image analysis or laser scan techniques is still a time- consuming and expensive part of such systems. A lower-priced, fast and robust alternative for distance measurements are time-of-flight (ToF) cameras. Recently, significant improvements have been made in order to achieve low-cost and compact ToF-devices, that have the potential to revolutionize many fields of research, including computer vision, computer graphics and human computer interaction (HCI). These technologies are starting to have an impact on research and commercial applications. The upcoming generation of ToF sensors, however, will be even more powerful and will have the potential to become "ubiquitous geometry devices" for gaming, web-conferencing, and numerous other applications. This paper will give an account of some recent developments in ToF-technology and will discuss applications of this technology for vision, graphics, and HCI.

关键词： Human computer interaction Image analysis Application software Object recognition Virtual reality Laser modes Robustness Distance measurement Cameras computer vision

来源：评论

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A multi-resolution framework for diffusion tensor images

A multi-resolution framework for diffusion tensor images

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Luc Florack Laura Astola Department of Mathematics and Computer Science & Department of Biomedical Engineering Eindhovan University of Technology Eindhoven Netherlands Department of Mathematics and Computer Science Eindhovan University of Technology Eindhoven Netherlands

A new scale space paradigm is proposed for multi-resolution analysis of diffusion tensor images (DTI). An a priori consistency requirement is stipulated, which precludes a linear model. A nonlinear adaptation is proposed to remedy the problem. Subsequently it is shown how differentiation can be operationalized. Considerations in this paper are relevant for DTI analysis in a differential geometric framework, in which the DTI image imposes a Riemannian structure. It adds further support in favor of the ldquogeometric rationalerdquo, and opens the door for a multi-resolution approach towards fibre tracking, connectivity analysis, and so forth.

关键词： Tensile stress Diffusion tensor imaging Linearity Symmetric matrices Multiresolution analysis Space technology Nonlinear filters Mathematics computer science Image analysis

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Canny edge detection on NVIDIA CUDA

Canny edge detection on NVIDIA CUDA

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Yuancheng Luo Ramani Duraiswami Perceptual Interfaces and Reality Laboratory Computer Science & UMIACS University of Maryland College Park USA

The Canny edge detector is a very popular and effective edge feature detector that is used as a pre-processing step in many computer vision algorithms. It is a multi-step detector which performs smoothing and filtering, non-maxima suppression, followed by a connected-component analysis stage to detect ldquotruerdquo edges, while suppressing ldquofalserdquo non edge filter responses. While there have been previous (partial) implementations of the Canny and other edge detectors on GPUs, they have been focussed on the old style GPGPU computing with programming using graphical application layers. Using the more programmer friendly CUDA framework, we are able to implement the entire Canny algorithm. Details are presented along with a comparison with CPU implementations. We also integrate our detector in to MATLAB, a popular interactive simulation package often used by researchers. The source code will be made available as open source.

关键词： Image edge detection Detectors computer vision Smoothing methods Filtering Performance analysis Filters Programming profession MATLAB Computational modeling

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Automatic facial expression recognition for intelligent tutoring systems

Automatic facial expression recognition for intelligent tuto...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Jacob Whitehill Marian Bartlett Javier Movellan Machine Perception Laboratory University of California San Diego USA

This project explores the idea of facial expression for automated feedback in teaching. We show how automatic realtime facial expression recognition can be effectively used to estimate the difficulty level, as perceived by an individual student, of a delivered lecture. We also show that facial expression is predictive of an individual studentpsilas preferred rate of curriculum presentation at each moment in time. On a video lecture viewing task, training on less than two minutes of recorded facial expression data and testing on a separate validation set, our system predicted the subjectspsila self-reported difficulty scores with mean accuracy of 0:42 (Pearson R) and their preferred viewing speeds with mean accuracy of 0:29. Our techniques are fully automatic and have potential applications for both intelligent tutoring systems (ITS) and standard classroom environments.

关键词： Face recognition Intelligent systems Feedback Humans pattern recognition Machine intelligence Jacobian matrices Laboratories Education Automatic testing

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Integrated target tracking and recognition via joint appearance-motion generative models

Integrated target tracking and recognition via joint appeara...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Vijay Venkataraman Xin Fan Guoliang Fan School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

We address the problem of joint target tracking and recognition by incorporating both appearance and motion information via two generative models. Specifically, a non-linear tensor decomposition method is used to develop an appearance generative model for multi-pose target representation. In addition, a target-dependent kinematic model is invoked to capture different target dynamics. Both generative models are integrated in a graphical model to work together for joint estimation of the kinematics, pose, and identity of the target. A particle filter is developed for inference in the graphical model where a Kalman filter is embedded to improve the proposal generation by taking advantage of motion cues. Tests on simulated infrared sequences demonstrate the advantages and potential of the proposed approach for joint tracking and recognition.

关键词： Target tracking Target recognition Radar tracking Particle filters Kinematics Graphical models Proposals Power system modeling Inference algorithms Robustness

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Fusion of range and intensity information for view invariant gesture recognition

Fusion of range and intensity information for view invariant...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： M.B. Holte T.B. Moeslund P. Fihl Computer Vision and Media Technology Laboratory University of Aalborg Denmark

This paper presents a system for view invariant gesture recognition. The approach is based on 3D data from a CSEM SwissRanger SR-2 camera. This camera produces both a depth map as well as an intensity image of a scene. Since the two information types are aligned, we can use the intensity image to define a region of interest for the relevant 3D data. This data fusion improves the quality of the range data and hence results in better recognition. The gesture recognition is based on finding motion primitives in the 3D data. The primitives are represented compactly and view invariant using harmonic shape context. A probabilistic Edit Distance classifier is applied to identify which gesture best describes a string of primitives. The approach is trained on data from one viewpoint and tested on data from a different viewpoint. The recognition rate is 92.9% which is similar to the recognition rate when training and testing on gestures from the same viewpoint, hence the approach is indeed view invariant.

关键词： Cameras Testing Robot vision systems computer vision Shape Humans Image segmentation Data analysis Image analysis Face detection

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Experiments on visual loop closing using vocabulary trees

Experiments on visual loop closing using vocabulary trees

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Ankita Kumar Jean-Philippe Tardif Roy Anati Kostas Daniilidis Grasp Laboratory University of Pennsylvania Philadelphia PA USA

In this paper we study the problem of visual loop closing for long trajectories in an urban environment. We use GPS positioning only to narrow down the search area and use pre-built vocabulary trees to find the best matching image in this search area. Geometric consistency is then used to prune out the bad matches. We compare several vocabulary trees on a sequence of 6.5 kilometers. We experiment with hierarchical k-means based trees as well as extremely randomized trees and compare results obtained using five different trees. We obtain the best results using extremely randomized trees. After enforcing geometric consistency the matched images look promising for structure from motion applications.

关键词： Vocabulary Global Positioning System Cameras Road vehicles System testing Robot vision systems Motion estimation Layout Image segmentation Delay

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