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A system for view-dependent animation

computer graphics FORUM 2004年第3期23卷 411-420页

作者： Chaudhuri, P Kalra, P Banerjee, S Indian Inst Technol Dept Comp Sci & Engn New Delhi 110016 India

In this paper we present a novel system for facilitating the creation of stylized view-dependent 3D animation. Our system harnesses the skill and intuition of a traditionally trained animator by providing a convivial sketch based 2D to 3D interface. A base mesh model of the character can be modified to match closely to an input sketch, with minimal user interaction. To do this, we recover the best camera from the intended view direction in the sketch using robust computer vision techniques. this aligns the mesh model with the sketch. We then deform the 3D character in two stages-first we reconstruct the best matching skeletal pose from the sketch and then we deform the mesh geometry. We introduce techniques to incorporate deformations in the view-dependent setting. this allows us to set up view-dependent models for animation.

关键词： computer graphics DIGITAL image processing GRAPHIC arts computer-generated imagery ANIMATION (Cinematography) computer systems

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Fast surface modelling using a 6th order PDE

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computer graphics FORUM 2004年第3期23卷 311-320页

作者： Zhang, JJ You, LH Bournemouth Univ Natl Ctr Comp Animat Poole BH12 5BB Dorset England

Although the control-point based parametric approach is used most widely in free-form surface modelling, complementary techniques co-exist to meet various specialised requirements. the partial differential equation (PDE) based modelling approach is especially suitable for satisfying surface boundary constraints. they are also effective for the generation of families of free-form surfaces, which share a common base and differ in their secondary features. In this paper we present a fast surface modelling method using a sixth order PDE. this PDE provides enough degrees of freedom not only to accommodate tangent, but also curvature boundary conditions and offers more shape control parameters to serve as user controls for the manipulation of surface shapes. In order to achieve real-time performance, we have constructed a surface function and developed a high-precision approximate solution to the 6th order PDE. Unlike some existing PDE-based techniques, this resolution method can satisfy the boundary conditions exactly, and is able to create free-form surfaces as fast and almost as accurately as the closed-form (analytical) solutions. Due to the fact that it has sufficient degrees of freedom to accommodate the continuity of 3-sided and 4-sided surface patches at their boundaries, this method is able to model complex surfaces consisting of multiple patches. Compared with existing PDE-based modelling methods, this method is both fast and can solve a larger class of surface modelling problems.

关键词： computer graphics Digital image processing Graphic arts computer simulation three-dimensional imaging

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Linear time construction of vectorial object boundaries

Linear time construction of vectorial object boundaries

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6th IASTED International conference on Signal and image processing

作者： Lovell, N Fenwick, J Griffith Univ Sch CIT Inst Intelligent & Integrated Syst Brisbane Qld 4111 Australia

ISBN: (纸本)0889864349

Classical alaorithms for identifying straight edges within an image, such as the Hough transform, run in O(n(2)) time which has been improved to O(nlog(2) (n)) by other heuristic algorithms. By focusing on 8-connected space rather than Euclidean space, we present a method for classifying a connected list of pixels as either straight or non-straight in constant time. We then build on this method to enable a heuristic algorithm to identify the straight edges within an image in linear time. Although the improvement from O(nlog(2)(n)) to O(n) time does not appear great we find that our algorithm is faster than others even on small images due to the large amount of data required to represent an image. As images become larger or as the number of straight edges in each image increases our improvement becomes more pronounced. Our algorithm then enables fast construction of vectorial object boundaries and medial axes which, in turn, enables efficient object recognition. We illustrate this with images from RoboCup.

关键词： computer vision artificial intelligence applications image segmentation pattern recognition

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Head pose estimation using stereo vision for human-robot interaction

Head pose estimation using stereo vision for human-robot int...

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6th IEEE International conference on Automatic Face and Gesture Recognition

作者： Seemann, E Nickel, K Stiefelhagen, R Univ Karlsruhe TH Interact Syst Labs Karlsruhe Germany

ISBN: (纸本)0769521223

In this paper we present a method for estimating a person's head pose with a stereo camera. Our approach focuses on the application of human-robot interaction, where people may be further away from the camera and move freely around in a room. We show that depth information acquired from a stereo camera not only helps improving the accuracy of the pose estimation, but also improves the robustness of the system when the lighting conditions change. the estimation is based on neural networks, which are trained to compute the head pose from grayscale and disparity images of the stereo camera. It can handle pan and tilt rotations from -90degrees to +90degrees. Our system doesn't require any manual initialization and doesn't suffer from drift during an image sequence. Moreover the system is capable of real-time processing.

关键词： Interactive computer systems

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Shape from shading: analysis of implicit surfaces by synthesis

Shape from shading: analysis of implicit surfaces by synthes...

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International conference on Signal processing Proceedings (ICSP)

作者： K. Rajgopal S.J. Sathish Department of Electrical Engineering Indian Institute of Science Bangalore India

In this paper, we present a general framework for solving the shape from shading problem for a class of surfaces called implicit surfaces by applying image synthesis techniques from computer graphics. the method relies on iterative synthesis of images from object descriptions in order to minimize an error function. the technique is illustrated in detail for quadric surfaces, with the ellipsoid as the specific example. the advantage of this approach is that reconstructing the shape of objects from shading is possible even under very general imaging conditions.

关键词： Shape computer graphics Partial differential equations image generation Iterative methods computer errors Surface reconstruction Ellipsoids image reconstruction computer vision

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TouchLight: an imaging touch screen and display for gesture-based interaction 04

TouchLight: an imaging touch screen and display for gesture-...

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Proceedings of the 6th international conference on Multimodal interfaces

作者： Andrew D. Wilson Microsoft Research Redmond WA

ISBN: (纸本)9781581139952

A novel touch screen technology is presented. TouchLight uses simple image processing techniques to combine the output of two video cameras placed behind a semi-transparent plane in front of the user. the resulting image shows objects that are on the plane. this technique is well suited for application with a commercially available projection screen material (DNP HoloScreen) which permits projection onto a transparent sheet of acrylic plastic in normal indoor lighting conditions. the resulting touch screen display system transforms an otherwise normal sheet of acrylic plastic into a high bandwidth input/output surface suitable for gesture-based interaction. image processing techniques are detailed, and several novel capabilities of the system are outlined.

关键词： computer human interaction videoconferencing gesture recognition displays computer vision

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A computerized program for three-dimensional visualization and quantitative analysis of cell nuclei

A computerized program for three-dimensional visualization a...

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International conference on e-health Networking, Applications and Services (HealthCom)

作者： Hyun Ju Choi Ik Hwan Choi Tae Yun Kim Heung Kook Choi School of computer engineering Inje University Gimhae South Korea

ISBN: (纸本)0780384539

In this paper, we have proposed an image processing system for the acquisition and processing of three-dimensional images based on confocal scanning laser microscopy for the purpose of three-dimensional visualization and quantitative analysis of cell nuclei. the three-dimensional visualization methods can be divided into surface rendering and volume rendering. the way that surface rendering is used within this system is based on contour modeling. this method consists of several steps as follows. the first step is to preprocess the volume data obtained. Secondly, the extraction of the contours of each slice is carried out. thirdly, smoothing algorithms are used to refine the contour data and remove wiggles. Since the surface rendering accounts only for the surface, the inside is not visible. therefore, based on the basic volume rendering pipeline, we implemented the volume rendering. In the quantification step, in order to extract quantitative features, we made a three-dimensional labeling method based on slice information. Compared to the conventional algorithms, this method has advantages due to the use of memory is highly efficient and it is possible to combine a variety of two-dimensional labeling algorithms to find an appropriate labeling to its application. After applying the labeling algorithm, we extracted the measurements for the three-dimensional quantitative analysis of cell nuclei: nuclear volume, surface area and spherical shape factor. this could become a way to improve the accuracy and reproducibility of quantifying cell nuclei. We believe that our method will become a useful diagnostic tool for the medical image analysis.

关键词： Labeling Rendering (computer graphics) Data mining Data visualization image analysis Shape measurement image processing Laser modes Microscopy Smoothing methods

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Traffic peccancy processing system based on image recognition

Traffic peccancy processing system based on image recognitio...

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6th IEEE International conference on Intelligent Transportation Systems

作者： Zhang, DD Fu, P Li, J Tong, SY Jilin Univ Dept Commun Changchun 130025 Peoples R China

ISBN: (纸本)0780381254

In this paper, we developed a traffic peccancy processing system. this system employed computer vision technique and image recognition technique to monitor the traffic status and recognized the vehicles violating the traffic light, the vehicles stopping in the place where parking is not allowed, the vehicles crossing over the center real line of the traffic lanes and reversing in the driveway.

关键词： background updating computer vision image pre-processing image recognition peccancy detection vehicle detection

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Industrial assessment of horticultural products' quality using image data fusion

Industrial assessment of horticultural products' quality usi...

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6th International conference on Information Fusion

作者： Majidi, B Moshiri, B Univ Teheran Fac Engn ECE Dept Tehran Iran

ISBN: (纸本)0972184449

In this article a computer vision system for classification of pomegranate, pear and apple, using high level fusion of various visual features is presented. Due to this fact that in real applications orientation of the fruit with respect to camera is completely random and fruits such as pear and some kinds of pomegranate don't have symmetrical shapes, the estimation of fruits volume in this project is done with aid of a neural network that was trained with simple features of fruit's profile images. For surface defect detection, the processing system must inspect the whole area of the fruit. In our approach, the inspection of fruit surface defects is based on fusing of fruit's side images. the blobs of this image are extracted and fruit is classified according to these blobs. Meanwhile a set of basic color parameters of fruit surface are extracted and finally the fruit is classified using high level fusion of these visual features.

关键词： data fusion fruit quality computer vision neural network image fusion

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Parameter estimation in Gibbs-Markov image models

Parameter estimation in Gibbs-Markov image models

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6th International conference on Information Fusion, FUSION 2003

作者： El-Baz, Ayman Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States

ISBN: (纸本)0972184449

this paper introduces two novel approaches to estimate the clique potentials in binary and multilevel realizations of Gibbs Markov random field (GMRF) models. the first approach employs a genetic algorithm (CA) in order to arrive at the closest synthesized image that resembles the original "observed" image. the Second approach is used to estimate the parameters of Gaussian Markov random field. Given an image formed of a number of classes, an initial class density is assumed and the parameters of the densities are estimated using the EM approach. Convergence to the true distribution is tested using the Levy distance. the segmentation of classes is performed iteratively using the ICM algorithm and a genetic algorithm (GA) search approach that provides the maximum a posteriori probability of pixel classification. During the iterations, the GA approach is used to select the clique potentials of the Gibbs-Markov models used for the observed image. the algorithm stops when a fitness function, equivalent to the maximum a posteriori probability, does not change. the approach has been tested on synthetic and real images and is shown to provide satisfactory results. © Commonwealth of Australia 2003.

关键词： Genetic algorithms

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