Image Based Modeling Of Plants And Trees
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Image Based Modeling Of Plants And Trees
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Author : Sing Bing Kang
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2010
Image Based Modeling Of Plants And Trees written by Sing Bing Kang and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
Plants and trees are among the most complex natural objects. Much work has been done attempting to model them, with varying degrees of success. In this book, we review the various approaches in computer graphics, which we categorize as rule-based, image-based, and sketch-based methods. We describe our approaches for modeling plants and trees using images. Image-based approaches have the distinct advantage that the resulting model inherits the realistic shape and complexity of a real plant or tree. We use different techniques for modeling plants (with relatively large leaves) and trees (with relatively small leaves).With plants, we model each leaf from images, while for trees, the leaves are only approximated due to their small size and large number. Both techniques start with the same initial step of structure from motion on multiple images of the plant or tree that is to be modeled. For our plant modeling system, because we need to model the individual leaves, these leaves need to be segmented out from the images. We designed our plant modeling system to be interactive, automating the process of shape recovery while relying on the user to provide simple hints on segmentation. Segmentation is performed in both image and 3D spaces, allowing the user to easily visualize its effect immediately. Using the segmented image and 3D data, the geometry of each leaf is then automatically recovered from the multiple views by fitting a deformable leaf model. Our system also allows the user to easily reconstruct branches in a similar manner. To model trees, because of the large leaf count, small image footprint, and widespread occlusions, we do not model the leaves exactly as we do for plants. Instead, we populate the tree with leaf replicas from segmented source images to reconstruct the overall tree shape. In addition, we use the shape patterns of visible branches to predict those of obscured branches. As a result, we are able to design our tree modeling system so as to minimize user intervention. We also handle the special case of modeling a tree from only a single image. Here, the user is required to draw strokes on the image to indicate the tree crown (so that the leaf region is approximately known) and to refine the recovery of branches. As before, we concatenate the shape patterns from a library to generate the 3D shape. To substantiate the effectiveness of our systems, we show realistic reconstructions of a variety of plants and trees from images. Finally, we offer our thoughts on improving our systems and on the remaining challenges associated with plant and tree modeling. Table of Contents: Introduction / Review of Plant and Tree Modeling Techniques / Image-Based Technique for Modeling Plants / Image-Based Technique for Modeling Trees / Single Image Tree Modeling / Summary and Concluding Remarks / Acknowledgments
Image Based Modeling Of Plants And Trees
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Author : Sing Bang Kang
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Image Based Modeling Of Plants And Trees written by Sing Bang Kang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Plants and trees are among the most complex natural objects. Much work has been done attempting to model them, with varying degrees of success. In this book, we review the various approaches in computer graphics, which we categorize as rule-based, image-based, and sketch-based methods. We describe our approaches for modeling plants and trees using images. Image-based approaches have the distinct advantage that the resulting model inherits the realistic shape and complexity of a real plant or tree. We use different techniques for modeling plants (with relatively large leaves) and trees (with relatively small leaves).With plants, we model each leaf from images, while for trees, the leaves are only approximated due to their small size and large number. Both techniques start with the same initial step of structure from motion on multiple images of the plant or tree that is to be modeled. For our plant modeling system, because we need to model the individual leaves, these leaves need to be segmented out from the images. We designed our plant modeling system to be interactive, automating the process of shape recovery while relying on the user to provide simple hints on segmentation. Segmentation is performed in both image and 3D spaces, allowing the user to easily visualize its effect immediately. Using the segmented image and 3D data, the geometry of each leaf is then automatically recovered from the multiple views by fitting a deformable leaf model. Our system also allows the user to easily reconstruct branches in a similar manner. To model trees, because of the large leaf count, small image footprint, and widespread occlusions, we do not model the leaves exactly as we do for plants. Instead, we populate the tree with leaf replicas from segmented source images to reconstruct the overall tree shape. In addition, we use the shape patterns of visible branches to predict those of obscured branches. As a result, we are able to design our tree modeling system so as to minimize user intervention. We also handle the special case of modeling a tree from only a single image. Here, the user is required to draw strokes on the image to indicate the tree crown (so that the leaf region is approximately known) and to refine the recovery of branches. As before, we concatenate the shape patterns from a library to generate the 3D shape. To substantiate the effectiveness of our systems, we show realistic reconstructions of a variety of plants and trees from images. Finally, we offer our thoughts on improving our systems and on the remaining challenges associated with plant and tree modeling. Table of Contents: Introduction / Review of Plant and Tree Modeling Techniques / Image-Based Technique for Modeling Plants / Image-Based Technique for Modeling Trees / Single Image Tree Modeling / Summary and Concluding Remarks / Acknowledgments
Image Based Modeling
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Author : Long Quan
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-10
Image Based Modeling written by Long Quan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-10 with Computers categories.
“This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University The computer vision and graphics communities use different terminologies for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa, independence of chapters allows readers to directly jump into a specific chapter of interest, compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry. Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry.
Computer Vision Accv 2010
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Author : Ron Kimmel
language : en
Publisher: Springer
Release Date : 2011-03-02
Computer Vision Accv 2010 written by Ron Kimmel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-02 with Computers categories.
The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
Tree Animation And Modeling Via Analytic Simulation And Image Based Reconstruction
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Author : Edward Quigley
language : en
Publisher:
Release Date : 2019
Tree Animation And Modeling Via Analytic Simulation And Image Based Reconstruction written by Edward Quigley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Botanical trees are ubiquitous in many real-world environments, and they are consequently also pervasive in the virtual environments created for film special effects, games, virtual reality, etc. The motion of these trees ranges from subtle swaying that is easily overlooked to dramatic deformation in extreme weather conditions. The geometry of these trees is highly intricate, with features including bark, knots, intricate networks of fine twigs and branches, and at times leaves, fruits, and flowers. This dissertation presents a set of frameworks for modeling a tree's motion via artist-directed simulation and its geometry via image-based reconstruction. First, we address the challenge of efficiently simulating tree motion for complex tree models. Efficient simulation of tree movement is difficult due to the many degrees of freedom needed to represent a high fidelity tree; this challenge is further compounded by the typically stiff material properties of a tree, making it difficult to simulate at interactive frame rates using standard time integration techniques. To address these issues, we present an algorithm with linear time complexity that simulates trees as articulated rigid bodies with as-stiff-as-desired rotational joints by taking the analytic solution to an approximated problem. Our method supports a variety of effects including wind, fictitious forces, collisions, plasticity, and leaf and fruit fracture, and it can be used to interactively parameterize tree models, run tree simulations using a game engine on a commodity tablet, simulate and render high quality trees with thousands to millions of rigid bodies, etc. Second, we address the challenge of reconstructing high fidelity, simulation-ready geometry of a tree from the real world. Beginning with a set of drone-mounted cameras, we acquire image data and apply traditional structure from motion and multi-view stereo techniques, then use the resulting point cloud data to build a simulatable representation of the tree's trunk and major branches. To reconstruct smaller twigs, we present an image annotation approach and subsequent improvements to simplify or automate parts of the annotation process using stereo correspondence information and a trained network for semantic segmentation of tree images. Finally, we combine the resulting model with our simulation framework to animate the reconstructed tree geometry.
Intelligent Image Analysis For Plant Phenotyping
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Author : Ashok Samal
language : en
Publisher: CRC Press
Release Date : 2020-10-21
Intelligent Image Analysis For Plant Phenotyping written by Ashok Samal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with Computers categories.
Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.
Intelligent Image Analysis For Plant Phenotyping
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Author : Ashok Samal
language : en
Publisher: CRC Press
Release Date : 2020-10-21
Intelligent Image Analysis For Plant Phenotyping written by Ashok Samal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with Computers categories.
Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.
Mathematical Methods For Curves And Surfaces
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Author : Michael Floater
language : en
Publisher: Springer
Release Date : 2014-02-03
Mathematical Methods For Curves And Surfaces written by Michael Floater and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-03 with Computers categories.
This volume constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Mathematical Methods for Curves and Surfaces, MMCS 2012, held in Oslo, Norway, in June/July 2012. The 28 revised full papers presented were carefully reviewed and selected from 135 submissions. The topics range from mathematical analysis of various methods to practical implementation on modern graphics processing units. The papers reflect the newest developments in these fields and also point to the latest literature.
Advances In Neural Network Research And Applications
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Author : Zhigang Zeng
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-05-10
Advances In Neural Network Research And Applications written by Zhigang Zeng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-10 with Technology & Engineering categories.
This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.
Transactions On Edutainment Xii
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Author : Zhigeng Pan
language : en
Publisher: Springer
Release Date : 2016-05-10
Transactions On Edutainment Xii written by Zhigeng Pan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-10 with Education categories.
This journal subline serves as a forum for stimulating and disseminating innovative research ideas, theories, emerging technologies, empirical investigations, state-of-the-art methods, and tools in all different genres of edutainment, such as game-based learning and serious games, interactive storytelling, virtual learning environments, VR-based education, and related fields. It covers aspects from educational and game theories, human-computer interaction, computer graphics, artificial intelligence, and systems design. The 17 papers presented in the 12th issue were organized in four parts dealing with: games; human-computer interaction; image and graphics; and applications.