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Making a machine that sees like us [electronic resource]

Making a machine that sees like us [electronic resource]

Material type
E-Book(소장)
Personal Author
Pizlo, Zygmunt. Li, Yunfeng. Sawada, Tadamasa. Steinman, Robert M. (Robert Martin).
Title Statement
Making a machine that sees like us [electronic resource] / Zygmunt Pizlo, Yunfeng Li, Tadamasa Sawada, and Robert M. Steinman.
Publication, Distribution, etc
New York :   Oxford University Press,   c2014.  
Physical Medium
1 online resource : ill.
ISBN
9780190228385 (ebook)
요약
This text explains why and how our visual perceptions can provide us with an accurate representation of the world 'out there.' Along the way, it tells the story of a machine (a computational model) built by the authors that solves the computationally difficult problem of seeing the way humans do.
General Note
Title from e-Book title page.  
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Computer vision. Visual perception.
Short cut
Oxford scholarship online   URL
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001 000045975999
005 20190319115549
006 m d
007 cr
008 190314s2014 nyua ob 001 0 eng d
020 ▼a 9780190228385 (ebook)
040 ▼a StDuBDS ▼b eng ▼c StDuBDS ▼e rda ▼e pn ▼d 211009
050 0 0 ▼a BF241
082 0 0 ▼a 152.14 ▼2 23
084 ▼a 152.14 ▼2 DDCK
090 ▼a 152.14
100 1 ▼a Pizlo, Zygmunt.
245 1 0 ▼a Making a machine that sees like us ▼h [electronic resource] / ▼c Zygmunt Pizlo, Yunfeng Li, Tadamasa Sawada, and Robert M. Steinman.
260 ▼a New York : ▼b Oxford University Press, ▼c c2014.
300 ▼a 1 online resource : ▼b ill.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
520 8 ▼a This text explains why and how our visual perceptions can provide us with an accurate representation of the world 'out there.' Along the way, it tells the story of a machine (a computational model) built by the authors that solves the computationally difficult problem of seeing the way humans do.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer vision.
650 0 ▼a Visual perception.
700 1 ▼a Li, Yunfeng.
700 1 ▼a Sawada, Tadamasa.
700 1 ▼a Steinman, Robert M. ▼q (Robert Martin).
856 4 0 ▼3 Oxford scholarship online ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1093/acprof:oso/9780199922543.001.0001
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 152.14 Accession No. E14010767 Availability Loan can not(reference room) Due Date Make a Reservation Service M

Contents information

Table of Contents

Cover; Making a machine that sees like us; Copyright; Contents; Acknowledgments; 1 How the Stage Was Set When We Began; 1.1 Introduction; 1.2 What Is This Book About?; 1.3 Analytical and Operational Definitions of Shape; 1.4 Shape Constancy as a Phenomenon (Something You Can Observe); 1.5 Complexity Makes Shape Unique; 1.6 How Would the World Look If We are Wrong?; 1.7 What Had Happened in The Real World While We Were Away; 1.8 Perception Viewed as an Inverse Problem; 1.9 How Bayesian Inference Can Be Used for Modeling Perception
1.10 What It Means to Have a Model of Vision, and Why We Need to Have One?1.11 End of the Beginning; 2 How This All Got Started; 2.1 Controversy About Shape Constancy: 1980-1995; 2.2 29th European Conference on Visual Perception (ECVP), St. Petersburg, Russia, August 20-25, 2006, Where We First Proposed; 2.3 The Role of Constraints in Recovering the 3D Shapes of Polyhedral Objects From Line-drawings; 2.4 31st European Conference on Visual Perception (ECVP) Utrecht, NL, August 24-28, 2008, Where We Had Our First Public Confron; 2.5 Monocular 3D Shape Recovery of Both Synthetic and Real Objects
3 Symmetry in Vision, Inside and Outside of the Laboratory3.1 Why and how approximate computations make visual analyses fast and perfect: the perception of slanted 2D mirror-symmetrical; 3.2 How Human Beings Perceive 2D Mirror-symmetry From Perspective Images; 3.3 Why 3D Mirror-symmetry is More Difficult Than 2D Symmetry; 3.4 Updating the Ideal Observer: How Human Beings Perceive 3D Mirror-symmetry From Perspective Images; 3.5 Important Role of Generalized Cones in 3D Shape Perception: How Human Beings Perceive 3D Translational-Symmetry From Perspe
3.6 Michael Layton''s Contribution to Symmetry in Shape Perception3.7 Leeuwenberg''s Attempt to Develop a "Structural" Explanation of Gestalt Phenomena; 4 Using Symmetry is Not Simple; 4.1 What is Really Going On? Examining the Relationship Between Simplicity and Likelihood; 4.2 Clearly, Simplicity is Better Than Likelihood-Excluding Degenerate Views Does Not Eliminate Spurious 3D Symmetrical Interpr; 4.3 What Goes With What? A New Kind of Correspondence Problem; 4.4 Everything Becomes Easier Once Symmetry is Viewed as Self-similarity: The First Working Solution of the Symmetry Correspond
5 A Second View Makes 3D Shape Perception Perfect5.1 What We Know About Binocular Vision and How We Came To Know It; 5.2 How We Worked Out the Binocular Perception of Symmetrical 3D Shapes; 5.3 How Our New Theory of Shape Perception, Based on Stereoacuity, Accounts for Old Results; 5.4 3D Movies: What They Are, What They Want To Be, and What It Costs; 5.5 Bayesian Model of Binocular Shape Perception; 5.6 Why We Could Claim That Our Model is Complete?; 6 Figure-ground Organization, Which Breaks Camouflage in Everyday Life, Permits the Veridical Recovery of a 3D Scene
6.1 Estimating the Orientation of the Ground-plane

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