Capturing And Modeling Of Deformable Objects
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Capturing And Modeling Of Deformable Objects
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Author :
language : en
Publisher:
Release Date : 2005
Capturing And Modeling Of Deformable Objects written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Modeling the behavior of deformable virtual objects has important applications in computer graphics. There are two prevalent approaches for modeling deformable objects, an active one by deforming existing virtual models and a passive one by capturing the geometry and motion of real objects. This thesis explores the problem of modeling and acquisition of objects undergoing deformations, and proposes a set of practical deformation and capturing tools. The first contribution is a new approach to model deformation that incorporates non-uniform materials into the geometric deformation framework. This technique provides a simple and intuitive method to control the deformation using material properties that can be specified by the user with an intuitive interface or can be learned from a sequence of sample deformations facilitating realistic looking results. Some deformable objects such as garments exhibit a complex behavior under motion and thus are difficult to model or simulate, making them suitable target for capture methods. Methods for capturing garments usually use special markers printed on the fabric to establish temporally coherent correspondences between frames. Unfortunately, this approach is tedious and prevents the capture of interesting, off-the-shelf fabrics. A marker-free approach to capturing garment motion that avoids these problems is presented in chapter three. The method establishes temporally coherent parameterizations between incomplete geometries that are extracted at each time step using a multiview stereo algorithm, and the missing geometry is filled in using a template. Garment motion is characterized by dynamic high-frequency folds. However, these folds tend to be shallow, making them difficult to capture. A new method for reintroducing folds into the sequence using data-driven dynamic wrinkling is presented in chapter four. The method first estimates the folds in the video footage and then wrinkle the surface using space-time deformation. The.
Modeling And Grasping Of Thin Deformable Objects
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Author : Jiang Tian
language : en
Publisher:
Release Date : 2010
Modeling And Grasping Of Thin Deformable Objects written by Jiang Tian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Geometrically And Physically Based Modeling For Deformable Objects Simulating Soft Tissue Interactions In Surgery Environments
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Author : Sukitti Punak
language : en
Publisher:
Release Date : 2007
Geometrically And Physically Based Modeling For Deformable Objects Simulating Soft Tissue Interactions In Surgery Environments written by Sukitti Punak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
ABSTRACT: This dissertation contributes a method for modeling deformable objects that leverages computer graphics techniques and state-of-the-art hardware to simulate and visualize deformations, including topological transformations like cutting, in real time. The resulting models are suitable for interactive surgical simulation for illustration and teaching purposes. The approach has been tested, in particular, by modeling responsive fatty tissue. To support force feedback as well as visual feedback, the deformable object consists of three closely coupled representations for dynamic response, collision detection, and visualization. All three representations are implemented on the Graphics Processing Unit, rather than on the CPU, to leverage parallelism for speed.
Collision Response Analysis And Fracture Simulation Of Deformable Objects For Computer Graphics
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Author :
language : en
Publisher:
Release Date : 2000
Collision Response Analysis And Fracture Simulation Of Deformable Objects For Computer Graphics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Computer Animation is a sub-field of computer graphics with an emphasis on the time-dependent description of interested events. It has been used in many disciplines such as entertainment, scientific visualization, industrial design, multimedia, etc. Modeling of deformable objects in a dynamic interaction and/or fracture process has been an active research topic in the past decade. The main objective of this thesis is to provide a new effective approach to address the dynamic interaction and fracture simulation. With respect to the dynamic interaction between deformable objects, this thesis proposes a new semi-explicit local collision response analysis (CRA) algorithm which is better than most of previous approaches in three aspects: computational efficiency, accuracy mid generality. The computational cost of the semi-explicit local CRA algorithm is guaranteed to be O('n') for each time step, which is especially desirable for the collision response analysis of complex systems. With the use of the Lagrange multiplier method, the send-explicit local CPA algorithm avoids shortcomings associated with the penalty method and provides an accurate description of detailed local deformation during a collision process. The generic geometric constraint and the Gauss-Seidel iteration for enforcing the loading constraint such as Coulomb friction law make the semi-explicit local CRA algorithm to be general enough to handle arbitrary oblique collisions. The experimental results indicate that the semi-explicit local CRA approach is capable of capturing all the key features during collision of deformable objects and matches closely with the theoretical solution of a classic collision problem in solid mechanics. In the fracture simulation, a new element-split method is proposed, which has a sounder mechanical basis than previous approaches in computer graphics and is more flexible to accommodate different material fracture criteria such that different failure patterns are obtained acco.
Articulated Motion And Deformable Objects
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Author : Francisco José Perales
language : en
Publisher: Springer
Release Date : 2014-06-25
Articulated Motion And Deformable Objects written by Francisco José Perales and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-25 with Computers categories.
This book constitutes the refereed proceedings of the 8th International Conference on Articulated Motion and Deformable Objects, AMDO 2014, held in Palma de Mallorca, Spain, in July 2014. The 18 papers presented were carefully reviewed and selected from 37 submissions. The conference dealt with the following topics: geometric and physical deformable models; motion analysis; articulated models and animation; modeling and visualization of deformable models; deformable model applications; motion analysis applications; single or multiple human motion analysis and synthesis; face modeling, tracking, recovering and recognition models; virtual and augmented reality; haptics devices; biometric techniques.
Recognition And Manipulation Of Deformable Objects Using Predictive Thin Shell Modeling
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Author :
language : en
Publisher:
Release Date : 2016
Recognition And Manipulation Of Deformable Objects Using Predictive Thin Shell Modeling written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
The simulation will also be used to find the optimized trajectories for the manipulation of the garments, such as the garment folding.
Data Based Models For Deformable Objects
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Author : Philip Fong
language : en
Publisher:
Release Date : 2007
Data Based Models For Deformable Objects written by Philip Fong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Articulated Motion And Deformable Objects
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Author : Francisco J. Perales
language : en
Publisher: Springer
Release Date : 2004-08-20
Articulated Motion And Deformable Objects written by Francisco J. Perales and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-20 with Computers categories.
The AMDO 2004 workshop took place at the Universitat de les Illes Balears (UIB) on 22-24 September, 2004, institutionally sponsored by the International Association for Pattern Recognition (IAPR), the MCYT (Comision Interm- isterial de Ciencia y Tecnologia, Spanish Government), the AERFAI (Spanish Association for Pattern Recognition and Image Analysis), the EG (Eurogra- ics Association) and the Mathematics and Computer Science Department of the UIB. Also important commercial sponsors collaborated with practical dem- strations; the main contributors were: Barco Electronics Systems (Title Sp- sor), VICOM Tech, ANDROME Iberica, CESA and TAGrv. The subject of the workshop was ongoing research in articulated motion on a sequence of images and sophisticated models for deformable objects. The goals of these areas are to understand and interpret the motion of complex objects that can be found in sequences of images in the real world. The main topics considered priorities are: deformable models, motion analysis, articulated models and animation, visualization of deformable models, 3D recovery from motion, single or multiple human motion analysis and synthesis, applications of deformable models and motion analysis, face tracking, recovery and recognition models, and virtual and augmented reality systems.
Modeling Small Objects Under Uncertainties
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Author : Amal A. Farag
language : en
Publisher:
Release Date : 2012
Modeling Small Objects Under Uncertainties written by Amal A. Farag and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Diagnostic imaging categories.
Active Shape Models (ASM), Active Appearance Models (AAM) and Active Tensor Models (ATM) are common approaches to model elastic (deformable) objects. These models require an ensemble of shapes and textures, annotated by human experts, in order identify the model order and parameters. A candidate object may be represented by a weighted sum of basis generated by an optimization process. These methods have been very effective for modeling deformable objects in biomedical imaging, biometrics, computer vision and graphics. They have been tried mainly on objects with known features that are amenable to manual (expert) annotation. They have not been examined on objects with severe ambiguities to be uniquely characterized by experts. This dissertation presents a unified approach for modeling, detecting, segmenting and categorizing small objects under uncertainty, with focus on lung nodules that may appear in low dose CT (LDCT) scans of the human chest. The AAM, ASM and the ATM approaches are used for the first time on this application. A new formulation to object detection by template matching, as an energy optimization, is introduced. Nine similarity measures of matching have been quantitatively evaluated for detecting nodules less than 1 em in diameter. Statistical methods that combine intensity, shape and spatial interaction are examined for segmentation of small size objects. Extensions of the intensity model using the linear combination of Gaussians (LCG) approach are introduced, in order to estimate the number of modes in the LCG equation. The classical maximum a posteriori (MAP) segmentation approach has been adapted to handle segmentation of small size lung nodules that are randomly located in the lung tissue. A novel empirical approach has been devised to simultaneously detect and segment the lung nodules in LDCT scans. The level sets methods approach was also applied for lung nodule segmentation. A new formulation for the energy function controlling the level set propagation has been introduced taking into account the specific properties of the nodules. Finally, a novel approach for classification of the segmented nodules into categories has been introduced. Geometric object descriptors such as the SIFT, AS 1FT, SURF and LBP have been used for feature extraction and matching of small size lung nodules; the LBP has been found to be the most robust. Categorization implies classification of detected and segmented objects into classes or types. The object descriptors have been deployed in the detection step for false positive reduction, and in the categorization stage to assign a class and type for the nodules. The AAMI ASMI A TM models have been used for the categorization stage. The front-end processes of lung nodule modeling, detection, segmentation and classification/categorization are model-based and data-driven. This dissertation is the first attempt in the literature at creating an entirely model-based approach for lung nodule analysis.
Articulated Motion And Deformable Objects
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Author : Francisco José Perales
language : en
Publisher: Springer
Release Date : 2016-07-02
Articulated Motion And Deformable Objects written by Francisco José Perales and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-02 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Conference on Articulated Motion and Deformable Objects, AMDO 2016, held in Palma de Mallorca, Spain, in July 2016.The 20 papers presented were carefully reviewed and selected from 34 submissions. The conference dealt with the following topics: advanced computer graphics and immersive videogames; human modeling and animation; human motion analysis and tracking; 3D human reconstruction and recognition; multimodal user interaction and applications; ubiquitous and social computing; design tools; input technology; programming user interfaces; 3D medical deformable models and visualization; deep learning methods for computer vision and graphics; multibiometric.