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Inference Of 3d Shape From Line Drawings


Inference Of 3d Shape From Line Drawings
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Inference Of 3d Shape From Line Drawings


Inference Of 3d Shape From Line Drawings
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Author : Seha Kim
language : en
Publisher:
Release Date : 2015

Inference Of 3d Shape From Line Drawings written by Seha Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Shapes categories.


Line drawings lack direct 3D depth information, yet human vision easily perceives the 3D shapes from the contours. This dissertation investigates the mechanisms underlying the 3D shape inference from 2D line drawings. Here, four psychophysical experiments and a computational model for the 3D shape inference are discussed. Experiment 1 shows that human responses in depth judgments for line drawings reflect an underlying uncertainty of the perceived 3D shape, which is based on the complex interaction of local and global depth cues propagated from the contours. The computational model estimates the posterior probability of possible 3D surfaces from the contours of a line drawing in a Bayesian framework. The comparison of the model predictions and human depth responses for the line drawings from Experiment 1 demonstrates that the model accounts for the probabilistic 3D shape interpretation of line drawings by human vision. Experiment 2 shows that the reliability of a contour segment in a line drawing as a meaningful depth cue is conditional to the complex global context. Experiments 3 and 4 show that the certainty of depth difference perceptions from partial line drawings increases as more non-local visual cues are available. The experiments and the model offer a new perspective on 3D shape perception from line drawings as an inference based on the probability over possible 3D shapes given the contour cues, providing a broader understanding on the mechanisms of human vision.



The Relative Effectiveness Of Line Drawing Algorithms At Depicting 3d Shape


The Relative Effectiveness Of Line Drawing Algorithms At Depicting 3d Shape
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Author : Kevin Sanik
language : en
Publisher:
Release Date : 2015

The Relative Effectiveness Of Line Drawing Algorithms At Depicting 3d Shape written by Kevin Sanik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computer graphics categories.


Line drawings offer a way to depict 3D shape using a ``minimal'' representation. They can abstract away other features like shading, texture, color, and others while still yielding a vivid sense of shape. Attempts to have computers automatically generate line drawings vary based on the ``definitions'' used to determine line placement. However, the resulting drawings are inconsistent in quality. In order to improve these methods, we use perceptual studies to understand when these methods are effective and when they are not. In the first study, we compare the accuracy of 3D shape percepts from line definitions, artist drawings, and shaded images. We find that line drawings can yield percepts almost as accurate as shaded images, but that no line definition is universally superior to others. We also find some evidence that the quality of these line definitions depends on the geometric context of the line. In the second set of studies, we examine the factors that determine the relevant context of two line definitions: apparent ridges and suggestive contours. We found that the effectiveness of an apparent ridge was largely dependent on the maximal curvature along apparent ridge, while suggestive contours are affected by multiple geometric variables. The final chapter studies these geometric variables in greater detail, and uses them to create a novel classification scheme for suggestive contours. Implementing this classification scheme allows for greater control over which suggestive contours are drawn and separate thresholds for each category, allowing users to include the ``best'' suggestive contours. We also show that this classification scheme allows users to combine suggestive contours with other line definitions to generate more effective line drawings.



Line Drawings From 3d Models


Line Drawings From 3d Models
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Author : PIERRE. HERTZMANN BENARD (AARON.)
language : en
Publisher:
Release Date : 2019-09-11

Line Drawings From 3d Models written by PIERRE. HERTZMANN BENARD (AARON.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-11 with Computers categories.


Drawing is the starting point for many kinds of tasks, for everyone from children making pictures to professional architects sketching ideas. Drawing seems to be fundamentally connected to how we represent the world visually. Most computer graphics focuses on realistic visual simulation, but over the past few decades, line drawing algorithms have matured, providing the ability to automatically create reasonable line drawings from 3D geometry. This tutorial provides a detailed guide to the mathematical theory and computer algorithms for line drawing of 3D objects. It focuses on the curves known as contours as they are the most important curves for line drawing of 3D surfaces. The authors describe the different algorithms required to compute and render these curves, before going on to explain boundary curves and surface-surface intersection curves. The tutorial concludes with other topics in 3D non-photorealistic rendering including: other types of curves, stroke rendering, and non-photorealistic shading. Line Drawings from 3D Models: A Tutorial is a concise, yet comprehensive, introduction to an increasingly important topic in computer graphics. The extensive bibliography is invaluable for readers wishing to further their own research in the area.



3d Shape


3d Shape
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Author : Zygmunt Pizlo
language : en
Publisher:
Release Date : 2008

3d Shape written by Zygmunt Pizlo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Form perception categories.


A new account of how we perceive the 3D shapes of objects and how to design machines that can see shapes the way we do. The uniqueness of shape as a perceptual property lies in the fact that it is both complex and structured. Shapes are perceived veridically -- perceived as they really are in the physical world, regardless of the orientation from which they are viewed. The constancy of the shape percept is the sine qua non of shape perception; you are not actually studying shape if constancy cannot be achieved with the stimulus you are using. Shape is the only perceptual attribute of an object that allows unambiguous identification. In this first book devoted exclusively to the perception of shape by humans and machines, Zygmunt Pizlo describes how we perceive shapes and how to design machines that can see shapes as we do. He reviews the long history of the subject, allowing the reader to understand why it has taken so long to understand shape perception, and offers a new theory of shape. Until recently, shape was treated in combination with such other perceptual properties as depth, motion, speed, and color. This resulted in apparently contradictory findings, which made a coherent theoretical treatment of shape impossible. Pizlo argues that once shape is understood to be unique among visual attributes and the perceptual mechanisms underlying shape are seen to be different from other perceptual mechanisms, the research on shape becomes coherent and experimental findings no longer seem to contradict each other. A single theory of shape perception is thus possible, and Pizlo offers a theoretical treatment that explains how a three-dimensional shape percept is produced from a two-dimensional retinal image, assuming only that the image has been organized into two-dimensional shapes. Pizlo focuses on discussion of the main concepts, telling the story of shape without interruption. Appendixes provide the basic mathematical and computational information necessary for a technical understanding of the argument. References point the way to more in-depth reading in geometry and computational vision.



Machine Interpretation Of Line Drawings


Machine Interpretation Of Line Drawings
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Author : Kōkichi Sugihara
language : en
Publisher: MIT Press (MA)
Release Date : 1986

Machine Interpretation Of Line Drawings written by Kōkichi Sugihara and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Computer vision categories.


This book solves a long-standing problem in computer vision, the interpretation of line drawings and, in doing so answers many of the concerns raised by this problem, particularly with regard to errors in the placement of lines and vertices in the images. Sugihara presents a computational mechanism that functionally mimics human perception in being able to generate three-dimensional descriptions of objects from two-dimensional line drawings. The objects considered are polyhedrons or solid objects bounded by planar faces, and the line drawings are single-view pictures of these objects. Sugihara's mechanism has several potential applications. It can facilitate man-machine communication by extracting object structures automatically from pictures drawn by a designer, which can be particularly useful in the computer-aided design of geometric objects, such as mechanical parts and buildings. It can also be used in the intermediate stage of computer vision systems used to obtain and analyze images in the outside world. The computational mechanism itself is not accompanied by a large database but is composed of several simple procedures based on linear algebra and combinatorial theory. Contents:Introduction. Candidates for Spatial Interpretation. Discrimination between Correct and Incorrect Pictures. Correctness of HiddenPart-Drawn Pictures. Algebraic Structures of Line Drawings. Combinatorial Structures of Line Drawings. Overcoming Superstrictness. Algorithmic Aspects of Generic Reconstructibility. Specification of Unique Shapes. Recovery of Shape from Surface Information. Polyhedrons and Rigidity. Kokichi Sugihara is Professor in the Department of Mathematical Engineering and instrumentation Physics, Faculty of Engineering, the University of Tokyo, Tokyo, Japan. Machine interpretation of Line Drawingsis included in The MIT Press Series in Artificial Intelligence, edited by Patrick Henry Winston and Michael Brady.



The Construction Of Labeled Line Drawings From Intensity Images


The Construction Of Labeled Line Drawings From Intensity Images
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Author : Deborah Anne Trytten
language : en
Publisher:
Release Date : 1992

The Construction Of Labeled Line Drawings From Intensity Images written by Deborah Anne Trytten and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computer vision categories.




Perception As Bayesian Inference


Perception As Bayesian Inference
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Author : David C. Knill
language : en
Publisher: Cambridge University Press
Release Date : 1996-09-13

Perception As Bayesian Inference written by David C. Knill and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09-13 with Computers categories.


This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.



Geometric Constraints For Object Detection And Delineation


Geometric Constraints For Object Detection And Delineation
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Author : Jefferey Shufelt
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Geometric Constraints For Object Detection And Delineation written by Jefferey Shufelt 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 2013-11-11 with Technology & Engineering categories.


The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic database compilation, industrial inspection and assembly, and autonomous navigation. Many of these problem domains do not have strong constraints on object shape or scene content, presenting serious obstacles for the development of robust object detection and delineation techniques. Geometric Constraints for Object Detection and Delineation addresses these problems with a suite of novel methods and techniques for detecting and delineating generic objects in images of complex scenes, and applies them to the specific task of building detection and delineation from monocular aerial imagery. PIVOT, the fully automated system implementing these techniques, is quantitatively evaluated on 83 images covering 18 test scenes, and compared to three existing systems for building extraction. The results highlight the performance improvements possible with rigorous photogrammetric camera modeling, primitive-based object representations, and geometric constraints derived from their combination. PIVOT's performance illustrates the implications of a clearly articulated set of philosophical principles, taking a significant step towards automatic detection and delineation of 3D objects in real-world environments. Geometric Constraints for Object Detection and Delineation is suitable as a textbook or as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.



Innovation Together


Innovation Together
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Author : Lolan Song
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-19

Innovation Together written by Lolan Song 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 2008-09-19 with Computers categories.


Since its establishment in 1998, Microsoft Research Asia’s trademark and long term commitment has been to foster innovative research and advanced education in the Asia-Pacific region. Through open collaboration and partnership with universities, government and other academic partners, MSRA has been consistently advancing the state-of-the-art in computer science. This book was compiled to record these outstanding collaborations, as Microsoft Research Asia celebrates its 10th Anniversary. The selected papers are all authored or co-authored by faculty members or students through collaboration with MSRA lab researchers, or with the financial support of MSRA. Papers previously published in top-tier international conference proceedings and journals are compiled here into one accessible volume of outstanding research. Innovation Together highlights the outstanding work of Microsoft Research Asia as it celebrates ten years of achievement and looks forward to the next decade of success.



Advances In Computer Graphics


Advances In Computer Graphics
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Author : Gerald Garcia
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Advances In Computer Graphics written by Gerald Garcia 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 2012-12-06 with Computers categories.


This book is a collection of several tutorials from the EUROGRAPHICS '90 conference in Montreux. The conference was held under the motto "IMAGES: Synthesis, Analysis and Interaction", and the tutorials, partly presented in this volume, reflect the conference theme. As such, this volume provides a unique collection of advanced texts on 'traditional' com puter graphics as well as of tutorials on image processing and image reconstruction. As with all the volumes of the series "Advances in Computer Graphics", the contributors are leading experts in their respective fields. The chapter Design and Display of Solid Models provides an extended introduction to interactive graphics techniques for design, fast display, and high-quality rendering of solid models. The text focuses on techniques for Constructive Solid Geometry (CSG). The follow ing topics are treated in depth: interactive design techniques (specification of curves, surfaces and solids; graphical user interfaces; procedural languages and direct manipulation) and display techniques (depth-buffer, scan-line and ray-tracing techniques; CSG classification techniques; efficiency-improving methods; software and hardware implementations).