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检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"

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Dense photometric stereo using a mirror sphere and graph cut

Dense photometric stereo using a mirror sphere and graph cut

引用

conference on computer vision and pattern recognition (cvpr)

作者： Tai-Pang Wu Chi-Keung Tang Vision and Graphics Group Hong Kong University of Science and Technology Hong Kong China

ISBN: (纸本)0769523722

We present a surprisingly simple system that performs robust normal reconstruction by dense photometric stereo, in the presence of large shadows, highlight, transparencies, complex geometry, variable attenuation in light intensity and inaccurate light directions. Our system consists of a mirror sphere, a spotlight and a DV camera only. Using this, we infer a dense set of unbiased but noisy photometric data uniformly distributed on the light direction sphere. We use this dense set to derive a very robust matching cost for our MRF photometric stereo model, where the maximum a posteriori (MAP) solution is estimated. To aggregate support for candidate normals in the normal refinement process, we introduce a compatibility function that is translated into a discontinuity-preserving metric, thus speeding up the MAP estimation by energy minimization using graph cut. No reference object of similar material is used. We perform detailed comparison on our approach with conventional convex minimization. We show very good normals estimated from very noisy data on a wide range of difficult objects to show the robustness and usefulness of our method.

关键词： Photometry Mirrors Robustness Stereo vision Geometry Cameras Reflectivity Surface contamination Surface reconstruction Surface texture

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Interactive montages of sprites for indexing and summarizing security video

Interactive montages of sprites for indexing and summarizing...

引用

conference on computer vision and pattern recognition (cvpr)

作者： C. Pal N. Jojic Department Computer Science University of Massachusetts Amherst MA USA Microsoft Research Limited Redmond WA USA

In this video we present a new model of interaction for indexing and visualizing video in the context of security applications. We present a method of indexing video by arranging irregularly shaped icons or sprites into a montage representing motion events or security events within the original video scene. The sprites in the montage are used as an index into the original video. We also generate video montages to summarize video in which motion events are compressed and overlayed in a video of shorter time duration. This summary video also acts as an index into the original video stream. We use a simple, novel method of extracting sprites for the image and video montages based on incrementally building a Gaussian mixture model with conjugate priors for the background. We then use fast morphological operators to extract foreground elements. Our approach can be viewed as a fast maximum a posteriori (MAP) inference procedure in a layered image model. The contributions of this work are new interaction and summary schemes that allow viewers to potentially survey hours of security video in the order of minutes.

关键词： Sprites (computer) Indexing Video compression Videoconference Layout Data security Pixel Surveillance Animation computer science

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Multimodal face recognition: combination of geometry with physiological information

Multimodal face recognition: combination of geometry with ph...

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conference on computer vision and pattern recognition (cvpr)

作者： I.A. Kakadiaris G. Passalis T. Theoharis G. Toderici I. Konstantinidis N. Murtuza Visual Computing Lab Department of Computer Science University of Houston Clear Lake Houston TX USA

It is becoming increasingly important to be able to credential and identify authorized personnel at key points of entry. Such identity management systems commonly employ biometric identifiers. In this paper, we present a novel multimodal facial recognition approach that employs data from both visible spectrum and thermal infrared sensors. Data from multiple cameras is used to construct a three-dimensional mesh representing the face and a facial thermal texture map. An annotated face model with explicit two-dimensional parameterization (UV) is then fitted to this data to construct: 1) a three-channel UV deformation image encoding geometry, and 2) a one-channel UV vasculature image encoding facial vasculature. recognition is accomplished by comparing: 1) the parametric deformation images, 2) the parametric vasculature images, and 3) the visible spectrum texture maps. The novelty of our work lies in the use of deformation images and physiological information as means for comparison. We have performed extensive tests on the Face recognition Grand Challenge v1.0 dataset and on our own multimodal database with very encouraging results.

关键词： Face recognition Information geometry Image coding Personnel Identity management systems Biometrics Infrared sensors Cameras Solid modeling Deformable models

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Segmentation of edge preserving gradient vector flow: an approach toward automatically initializing and splitting of snakes

Segmentation of edge preserving gradient vector flow: an app...

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conference on computer vision and pattern recognition (cvpr)

作者： Chunming Li Jundong Liu M.D. Fox Department of Electrical and Computer Engineering University of Connecticut Storrs CT USA School of Electrical Engineering and Computer Science Ohio University Athens OH USA

Active contours or snakes have been extensively utilized in handling image segmentation and classification problems. In traditional active contour models, snake initialization is performed manually by users, and topological changes, such as splitting of the snake, can not be automatically handled. In this paper, we introduce a new method to solve the snake initialization and splitting problem, based on an area segmentation approach: the external force field is segmented first, and then the snake initialization and splitting can be automatically performed by using the segmented external force field. Such initialization and splitting produces multiple snakes, each of which is within the capture range associated to an object and evolved to the object boundary. The external force used in this paper is a gradient vector flow with an edge-preserving property (EPGVF), which can prevent the snakes from passing over weak boundaries. To segment the external force field, we represent it with a graph, and a graph-theory approach can be taken to determine the membership of each pixel. Experimental results establish the effectiveness of the proposed approach.

关键词： Active contours Solid modeling Topology Image segmentation computer science Computed tomography Spline Level set Active shape model Active noise reduction

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Guided sampling via weak motion models and outlier sample generation for epipolar geometry estimation

Guided sampling via weak motion models and outlier sample ge...

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conference on computer vision and pattern recognition (cvpr)

作者： L. Goshen I. Shimshoni Faculty of Industrial Engineering & Management Technion-Israel Institute of Technology Haifa Israel

The problem of automatic robust estimation of the epipolar geometry in cases where the correspondences are contaminated with a high percentage of outliers is addressed. This situation often occurs when the images have undergone a significant deformation, either due to large rotation or wide baseline of the cameras. An accelerated algorithm for the identification of the false matches between the views is presented. The algorithm generates a set of weak motion models (WMMs). Each WMM roughly approximates the motion of correspondences from one image to the other. The algorithm represents the distribution of the median of the geometric distances of a correspondence to the WMMs as a mixture model of outlier correspondences and inlier correspondences. The algorithm generates an outlier correspondence sample from the data. This sample is used to estimate the outlier rate and to estimate the outlier pdf. Using these two pdfs the probability that each correspondence is an inlier is estimated. These probabilities enable to guide the sampling. In the RANSAC process this guided sampling accelerates the search process. The resulting algorithm when tested on real images achieves a speedup of between one or two orders of magnitude.

关键词： Sampling methods Solid modeling Motion estimation computer vision Robustness Acceleration Image sampling Computational geometry Industrial engineering Technology management

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Capturing 2 ½ D Depth and Texture of Time-Varying Scenes Using Structured Infrared Light

Capturing 2 ½ D Depth and Texture of Time-Varying Scenes Us...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： C. Frueh A. Zakhor Department of Computer Science and Electrical Engineering University of California Berkeley USA

In this paper, we describe an approach to simultaneously capture visual appearance and depth of a time-varying scene. Our approach is based on projecting structured infrared (IR) light. Specifically, we project a combination of (a) a static vertical IR stripe pattern, and (b) a horizontal IR laser line sweeping up and down the scene; at the same time, the scene is captured with an IR-sensitive camera. Since IR light is invisible to the human eye, it does not disturb human subjects or interfere with human activities in the scene; in addition, it does not affect the scene’s visual appearance as recorded by a color video camera. Vertical lines in the IR frames are identified using the horizontal line, intra-frame tracking, and inter-frame tracking; depth along these lines is reconstructed via triangulation. Interpolating these sparse depth lines within the foreground silhouette of the recorded video sequence, we obtain a dense depth map for every frame in the video sequence. Experimental results corresponding to a dynamic scene with a human subject in motion are presented to demonstrate the effectiveness of our proposed approach.

关键词： Layout Humans Cameras Image reconstruction Video sequences Motion analysis Image motion analysis Geometry Streaming media Visualization

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Integration of motion fields through shape

Integration of motion fields through shape

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conference on computer vision and pattern recognition (cvpr)

作者： H. Ji C. Fermuller Center for Automation Research University of Maryland College Park MD USA

Structure from motion from single flow fields has been studied intensively, but the integration of information from multiple flow fields has not received much attention. Here we address this problem by enforcing constraints on the shape (surface normals) of the scene in view, as opposed to constraints on the structure (depth). The advantage of integrating shape is two-fold. First, we do not need to estimate feature correspondences over multiple frames, but we only need to match patches. Second, the shape vectors in the different views are related only by rotation. This constraint on shape can be combined easily with motion estimation, thus formulating motion and structure estimation from multiple views as a practical constrained minimization problem using a rank-3 constraint. Based on this constraint, we develop a 3D motion technique, which locates through color and motion segmentation, planar patches in the scene, matches patches over multiple frames, and estimates the motion between multiple frames and the shape of the selected scene patches using the image gradients. Experiments evaluate the accuracy of the 3D motion estimation and demonstrate the motion and shape estimation of the technique by super-resolving an image sequence.

关键词： Shape Motion estimation Layout Cameras Parameter estimation Automation Educational institutions Motion segmentation computer vision Image resolution

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Face recognition based on frontal views generated from non-frontal images

Face recognition based on frontal views generated from non-f...

引用

conference on computer vision and pattern recognition (cvpr)

作者： V. Blanz P. Grother P.J. Phillips T. Vetter Max Planck Institut für Informatik Saarbrucken Germany National Institute for Standards and Technology Gaithersburg MD USA Department Informatik University of Basel Basel Switzerland

This paper presents a method for face recognition across large changes in viewpoint. Our method is based on a morphable model of 3D faces that represents face-specific information extracted from a dataset of 3D scans. For non-frontal face recognition in 2D still images, the morphable model can be incorporated in two different approaches: in the first, it serves as a preprocessing step by estimating the 3D shape of novel faces from the non-frontal input images, and generating frontal views of the reconstructed faces at a standard illumination using 3D computer graphics. The transformed images are then fed into state-of-the-art face recognition systems that are optimized for frontal views. This method was shown to be extremely effective in the Face recognition Vendor Test FRVT 2002. In the process of estimating the 3D shape of a face from an image, a set of model coefficients are estimated. In the second method, face recognition is performed directly from these coefficients. In this paper we explain the algorithm used to preprocess the images in FRVT 2002, present additional FRVT 2002 results, and compare these results to recognition from the model coefficients.

关键词： Face recognition Image generation Shape Data mining Data preprocessing Image reconstruction Lighting computer graphics Testing Image recognition

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Full-frame video stabilization

Full-frame video stabilization

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conference on computer vision and pattern recognition (cvpr)

作者： Yasuyuki Matsushita Eyal Ofek Xiaoou Tang Heung-Yeung Shum Beijing Sigma Center Microsoft Research Asia Beijing China

Video stabilization is an important video enhancement technology which aims at removing annoying shaky motion from videos. We propose a practical and robust approach of video stabilization that produces full-frame stabilized videos with good visual quality. While most previous methods end up with producing low resolution stabilized videos, our completion method can produce full-frame videos by naturally filling in missing image parts by locally aligning image data of neighboring frames. To achieve this, motion inpainting is proposed to enforce spatial and temporal consistency of the completion in both static and dynamic image areas. In addition, image quality in the stabilized video is enhanced with a new practical deblurring algorithm. Instead of estimating point spread functions, our method transfers and interpolates sharper image pixels of neighbouring frames to increase the sharpness of the frame. The proposed video completion and deblurring methods enabled us to develop a complete video stabilizer which can naturally keep the original image quality in the stabilized videos. The effectiveness of our method is confirmed by extensive experiments over a wide variety of videos.

关键词： Layout Videoconference Robustness Filling Image quality Video sequences Sampling methods computer vision Asia Spatial resolution

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3D geometric and optical modeling of warped document images from scanners

3D geometric and optical modeling of warped document images ...

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conference on computer vision and pattern recognition (cvpr)

作者： Li Zhang Zheng Zhang Chew Lim Tan Tao Xia School of Computing National University of Singapore Singapore Department of Mathematics National University of Singapore Singapore

ISBN: (纸本)0769523722

When one scans a document page from a thick bound volume, the curvature of the page to be scanned results in two kinds of distortion in the scanned document images: i) shade along the 'spine' of the book; and ii) warping in the shade area. In this paper, we propose an efficient restoration method based on the discovery of the 3D shape of a book surface from the shading information in a scanned document image. We first build practical models namely a 3D geometric model and a 3D optical model for the practical scanning conditions to reconstruct the 3D shape of book surface. We next restore the scanned document image using this shape based on de-shading and de-warping models. Finally, we evaluate the restoration results by comparing the OCR (optical character recognition) performance on the original and restored document images. The experiments show that the geometric and photometric distortions are mostly removed and the OCR results are improved markedly.

关键词： Geometrical optics Solid modeling Optical character recognition software Optical distortion Image restoration Optical variables control Books Shape Surface reconstruction Image reconstruction

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