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共 655 条记录，以下是61-70 订阅

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Image processing in spheric-shaped data using a geographical transformation -: Application to bio-cellular imaging

Image processing in spheric-shaped data using a geographical...

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3rd IEEE international symposium on Biomedical Imaging

作者： Rekik, Wafa Bereziat, dominique dubuisson, Severine Univ Paris 06 Lab Informat 8 Rue Capitaine Scott F-75015 Paris France

ISBN: (纸本)9780780395763

in this article, we put forth the contribution of cartographic map projection in image analysis for 2d and 3d spheric-shaped data. In the 2d case, map projection of the underlying hemispherical surface has the merit to overcome deformations generated by perspective sights. In the 3d case, processing cartographic references of the original spheroid surfaces presents mainly two advantages. On one hand, it decreases significantly the amount of processed data. On the other hand, we avoid extension of exhaustive processes to a higher dimension. We make use of this geographical transformation in several classical image processing applications such as temporal tracking, information visualization, and feature extraction, such as segmentation. These applications are described and results of cell wall simulations are displayed.

关键词： Image processing

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Estimating a-priori unknown 3d axially symmetric surfaces from noisy measurements of their fragments

Estimating a-priori unknown 3D axially symmetric surfaces fr...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Willis, Andrew Cooper, david B. Univ N Carolina Dept Elect & Comp Engn Charlotte NC 28223 USA Brown Univ Div Engn Providence RI 02912 USA

ISBN: (纸本)9780769528250

In this paper, we present a computationally efficient technique for solving the difficult problem of estimating the global shape of a ceramic pot from measurements of its fragments. Each unknown pot is modeled as a surface of revolution, i.e., a 3d line- the central axis of the pot - and a 2d profile curve with respect to that axis. For each fragment, a probabilistic distribution is estimated which models both the geometric shape of the fragment and the variability of the estimated fragment shape. Estimation of the global pot shape is then a Maximum Likelihood Estimation (MLE) problem where we seek the values of the Euclidean transformation parameters that maximize the joint probability of the matched fragments' axis/profile-curve models (which includes the additional constraint that the matched fragments must share a common central axis). This is a new type of curve-analysis problem and our solution is a new and effective approach applicable for generic constrained 2d curve alignment and for modeling of 3d axially-symmetric surfaces and for comparing geometric models which may correspond over a subset of the complete model.

关键词： Maximum likelihood estimation

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Expression compensation for face recognition using a polar geodesic representation

Expression compensation for face recognition using a polar g...

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3rd international symposium on 3d data processing, visualization, and transmission, 3dPVT 2006

作者： Mpiperis, Iordanis Malassiotis, Souris Strintzis, Michael G. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki 541 24 Greece Informatics and Telematics Institute Centre for Research and Technology Hellas 1st Km Thermi-Panorama Rd Thessaloniki 57001 Greece

ISBN: (纸本)0769528252

This paper addresses the problem of face recognition in the presence of facial deformations caused by expressions. An isometric mapping between surfaces is assumed, which allows preservation of geodesic distance between facial points. Subject to this assumption, we propose a novel technique which integrates 2d and 3d information to establish a new deformation invariant representation of the face. The 3d surface is used to define a polar geodesic coordinate space which is independent of the intrinsic geometry of the face. The corresponding color image is embedded in this space and serves as the recognition data. A preceding stage of hierarchical diffeomorphic grid-based image warping before the recognition process combined with a lip segmentation technique are also employed to increase the overall performance of the algorithm. © 2006 IEEE.

关键词： Face recognition

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Orientation of fragments of rotationally symmetrical 3d-shapes for archaeological documentation

Orientation of fragments of rotationally symmetrical 3D-shap...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Mara, Hubert Sablatnig, Robert Vienna Univ Technol Inst Comp Aided Automat Pattern Recognit & Image Proc Grp Favoritenstr 9-183-2 A-1040 Vienna Austria

ISBN: (纸本)9780769528250

Motivated by the requirements of modern archaeologists, we are developing a documentation system based on structured light for acquisition of ceramics. Fragments of ceramics are daily finds at excavations and important for archaeological research, because their shape leads to information about ancient cultures. The shapes used for documentation are called profile lines and estimated by a vertical cross-section of orientated fragments. As ceramics have been produced using rotational plates for several thousands of years, the rotational axis can be used for orientation. Therefore we conducted experiments using existing methods for estimation of the rotational axis. The drawbacks of these methods are the requirement of either complete objects or industrialized quality of symmetry. Therefore we show a new method using circle templates, which has been inspired by the manual method of archaeologists. In this work we present results using previous and related work in comparison with the estimation of the rotational axis using circle templates. The results of the presented methods are shown for synthetic data, well-known fragments and real data acquired at an archaeological excavation. Finally a conclusion and an outlook is given.

关键词： Excavation

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Towards on-line digital doubles

Towards on-line digital doubles

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3rd international symposium on 3d data processing, visualization and transmission

作者： Griesser, Andreas Cornelis, Nico Van Gool, Luc ETH Swiss Fed Inst Technol D ITET Comp Vis Lab Zurich Switzerland Katholieke Univ Leuven ESAT VISICS Leuven Belgium

ISBN: (纸本)9780769528250

We present a modular system for real-time 3d-scanning of human bodies under motion. The high-resolution shape and colour appearance is captured by several scanning units positioned around the object of interest. Each of these units performs a foreground-background segmentation and computes a valid depth-range for the spatially neighbouring units. Multiple depth-ranges are combined in a visual hull representation, which limits the search-range for the 3d-reconstruction. depth-estimation is based on a hierarchical mult-view-stereo plane sweep approach. Robustness and accuracy is increased by incorporating imperceptible infrared illumination as well as adding local pixel gradient information. All parts of the processing pipeline, involving camera color conversions, segmentation, depth-range computation, visual-hull generation, lossless image compression, network transfer of the infrared and colour images, and the plane sweep algorithm, are implemented on the GPU and highly optimized for speed, allowing scanning times of less than 40ms per frame. Experimental results demonstrate the applicability of our system to the creation of high-density on-line digital doubles.

关键词： Scanning

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Efficient sparse 3d reconstruction by space sweeping

Efficient sparse 3D reconstruction by space sweeping

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3rd international symposium on 3d data processing, visualization and transmission

作者： Bauer, Joachim Zach, Christopher Karner, Konrad Bischof, Horst VRVis Res Ctr Inffeldgasse 16 Graz Austria Inst Comp Graph & Vis Graz Austria

ISBN: (纸本)9780769528250

This paper introduces a feature based method for the fast generation of sparse 3d point clouds from multiple images with known pose. We extract sub-pixel edge elements (2d position plus associated orientation) and use a space sweeping scheme to compute the accurate 3d location of these edge features. Our approach relies mainly on the geometric properties of the extracted primitives and incorporates a robust uncertainty estimation to detect outliers. Epipolar constraints between views are used to narrow down the search space of potential candidates in the images. In order to improve the efficiency of spatial queries, for detecting edgels lying close to an epipolar line, we utilise a pairwise stereo rectification scheme. The detection and verification of tentative hypotheses is carried out in 3d-space, thus allowing to perform an event driven search mode. An uncertainty measure that models the location inaccuracies in the feature extraction process and errors introduced in the camera pose estimation stage allows to assign a likelihood value to each hypothesis. Optionally an image-based similarity measure can be used to verify the 3d hypotheses and to identify false positives. We perform experiments on a synthetic data set and on several real datasets. The results indicate that the proposed method yields accurate measurements on depth discontinuities and thus represents a complementary technique to standard dense matching approaches.

关键词： Stereo image processing

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d>Anatomically-Aware, Automatic, and Fast Registration of 3d Ear Impression Modelsd>

<bold>Anatomically-Aware, Automatic, and Fast Registration o...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Zouhar, Alexander Fang, Tong Unal, Gozde Slabaugh, Greg Xie, Hui McBagonluri, Fred Siemens Corp Res Dept Intelligent Vis & Reasoning Princeton NJ USA Siemens Hearing Instruments Piscataway NJ USA

ISBN: (纸本)9780769528250

We present a registration framework based on feature points of anatomical 3d shapes represented in the point cloud domain. Anatomical information is utilized throughout the complete registration process. The surfaces, which in this paper are ear impression models, are considered to be similar in the way that they possess the same anatomical regions but with varying geometry. First, in a shape analysis step, features of important anatomical regions (such as canal, aperture, and concha) are extracted automatically. Next these features are used in ordinary differential equutions that update rigid registration parameters between two sets of feature points. For refinement of the results, the GCP algorithm is applied. Through our experiments, we demonstrate our technique's success in surface registration through registration of key anatomical regions of human ear impressions. Furthermore, we show that the proposed method achieves higher accuracy and faster performance than the standard GCP registration algorithm.

关键词： Three dimensional computer graphics

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Aerial LidAR data classification using Support Vector Machines (SVM)

Aerial LiDAR data classification using Support Vector Machin...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Lodha, Suresh K. Kreps, Edward J. Helmbold, david P. Fitzpatrick, darren Univ Calif Santa Cruz Dept Comp Sci Santa Cruz CA 95064 USA

ISBN: (纸本)9780769528250

We classify 3d aerial LidAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, height variation, normal variation, LidAR return intensity, and image intensity. We also use only LidAR-derived features to organize the data into three classes (the road and grass classes are merged). We have implemented and experimented with several variations of the SVM algorithm with soft-margin classification to allow for the noise in the data. We have applied our results to classify aerial LidAR data collected over approximately 8 square miles. We visualize the classification results along with the associated confidence using a variation of the SVM algorithm producing probabilistic classifications. We observe that the results are stable and robust. We compare the results against the ground truth and obtain higher than 90% accuracy and convincing visual results.

关键词： LidAR data classification Support Vector Machine (SVM) terrain visualization

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Motion parallax without motion compensation in 3d cluttered scenes

Motion parallax without motion compensation in 3D cluttered ...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Langer, M. S. Chapdelaine-Couture, V. Mann, R. Roy, S. McGill Univ Sch Comp Sci Montreal PQ H3A 2A7 Canada Univ Waterloo Sch Comp Sci Waterloo ON N2L 3G1 Canada Univ Montreal DIRO Montreal PQ H3T IJ4 Canada

ISBN: (纸本)9780769528250

When an observer moves through a rigid 3d scene, points that are near to the observer move with a different image velocity than points that are far away. The difference between image velocity vectors is the direction of motion parallax. This direction vector points towards the observer's translation direction. Hence estimates of the direction of motion parallax are useful for estimating the observer's translation direction. Standard ways to compute the direction of motion parallax either rely on precomputed optical flow, or rely on motion compensation to remove the local image shift caused by observer rotation. Here we present a simple Fourier-based method for estimating the direction of motion parallax directly, that does not require optical flow and motion compensation. The method is real-time and performs accurately for image regions in which multiple motions are present.

关键词： Motion compensation

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EKF-Based recursive dual estimation of structure & motion from stereo data

EKF-Based recursive dual estimation of structure & motion fr...

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3rd international symposium on 3d data processing, visualization and transmission

作者： Zhang, Hongsheng Negahdaripour, Shahriar Univ Miami Dept Elect & Comp Engn Underwater Vis & Imaging Lab Coral Gables FL 33124 USA

ISBN: (纸本)9780769528250

Extended Kalman filters (EKF) have been proposed to estimate ego-motion and to recursively update scene structure in the form of 3-d positions of selected prominent features from motion and stereo sequences. Previous methods typically accommodate no more than a few dozen features for real-time processing. To maintain motion estimation accuracy, this calls for high contrast images to compute image feature locations with precision. Within manmade environments, various prominent corner points exist that can be extracted and tracked with required accuracy. However, prominent features are more difficult to localize precisely in natural scenes. Statistically, more feature points become necessary to maintain the same level of motion estimation accuracy and robustness. However, this imposes a computational burden beyond the capability of EKF-based techniques for real-time processing. A sequential dual EKF estimator utilizing stereo data is proposed for improved computation efficiency. Two important issues, unbiased estimation and stochastic stability are addressed. Furthermore, the dynamic feature set is handled in a more effective, efficient and robust way. Experimental results to demonstrate the merits of the new theoretical and algorithmic developments are presented.

关键词： Extended Kalman filters

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