'Shape representation' presentation slideshows

Shape-Representation

Shape-Representation. and. Shape Similarity PART 2. Dr. Rolf Lakaemper. Motivation. WHY PARTS ?. Motivation. Motivation. Motivation. Motivation. Global similarity measures fail at: Occlusion Global Deformation Partial Match (actually everything that occurs under

1.35k views • 135 slides

Syllabus

1.3k views • 117 slides

Medial Object Shape Representations for Image Analysis & Object Synthesis

Medial Object Shape Representations for Image Analysis & Object Synthesis. Stephen M. Pizer Kenan Professor Medical Image Display & Analysis Group University of North Carolina, USA Credits: Many on MIDAG, especially Daniel Fritsch, Andrew Thall, George Stetten, Paul Yushkevich.

604 views • 60 slides

THE PROBLEM OF VISUAL RECOGNITION (Ch. 3, Farah)

THE PROBLEM OF VISUAL RECOGNITION (Ch. 3, Farah). Why is it difficult to identify real world objects from the retinal image? How many shape representations of each distinguishable object do we need in memory? What is the nature of shape representations in memory?

463 views • 46 slides

Shape Representation Using R-Functions Applied To Supershapes

Shape Representation Using R-Functions Applied To Supershapes. Yohan FOUGEROLLE August, the 24 th. Outline. Introduction R-functions and supershapes Algorithm Results Conclusions and future work. ?. Forward problem. Increasing complexity. Inverse problem.

313 views • 31 slides

Context-based Surface Completion

Context-based Surface Completion. Andrei Sharf, Marc Alexa, Daniel Cohen-Or. Introduction. Holes in models: Imperfect range scanned data: Complex objects with non-visible regions. Misalignment of multiple-views depth image scans. Material reflections. Surface editing operations.

504 views • 29 slides

Ivo D. Dinov , Ph.D., CCB Chief Operations Officer

Ivo D. Dinov , Ph.D., CCB Chief Operations Officer PI: Arthur W. Toga, Ph.D. Co-PI: Tony F. Chan, Ph.D. AWT. CCB Science, SW Development & Infrastructure. Science Developments CCB Grand Challenges SW & Computational Tool Development Internal Algorithm & SW design

421 views • 26 slides

Shape Representation and Similarity

Stretching. Stretching. Shape Representation and Similarity. Occlusion. Articulation. Shape similarities should be preserved under occlusions and articulation. Two equal stretching along contours can affect shape similarity differently. .

378 views • 25 slides

Rachid FAHMI Ph.D. Defense April 30, 2008

CVIP Laboratory. Variational Methods For Shape And Image Registrations. Rachid FAHMI Ph.D. Defense April 30, 2008. Advisor: Prof. Aly A. Farag. Outline. Generic Image Registration Problem. Shape Registration: Representation of shapes Global Alignment

301 views • 19 slides

Rachid FAHMI Ph.D. Defense April 30, 2008

CVIP Laboratory. Variational Methods For Shape And Image Registrations. Rachid FAHMI Ph.D. Defense April 30, 2008. Advisor: Prof. Aly A. Farag. Outline. Generic Image Registration Problem. Shape Registration: Representation of shapes Global Alignment

240 views • 19 slides

Feature-sensitive 3D Shape Matching

Feature-sensitive 3D Shape Matching Andrei Sharf Tel-Aviv University Ariel Shamir IDC Hertzliya Introduction Shape matching measures similarity distance between shapes Common distance metrics: Geometric Volumetric User defined No unique measure defines shape similarity Motivation

592 views • 18 slides

Multiscale Distance Matrix for Fast Plant Leaf Recognition

Multiscale Distance Matrix for Fast Plant Leaf Recognition. Rongxiang Hu, Wei Jia , Haibin ling, and Deshuang Huang. Outline. Introduction Multiscale Distance Matrix Experiments and Discussion Conclusions. Introduction.

457 views • 17 slides

Statistical Shape Analysis

157 views • 15 slides

Docking Algorithm Scheme

Docking Algorithm Scheme. 1.1 Surface representation 1.2 Coarse Curvature calculation 1.3 Division to surface patches of similar curvature. Part 1: Molecular shape representation Part 2: Matching of critical features Part 3: Filtering and scoring of candidate transformations.

168 views • 15 slides

The I mportance of A G ood R epresentation

243 views • 14 slides

Summary

431 views • 12 slides

Term Transformation

Term Transformation Describe The change in the position of a geometric figure, the pre-image, that produces a new figure called the image Representation. Term Image Describe A geometric figure after it has been transformed Representation. Term Pre-image

204 views • 11 slides

Object recognition

Object recognition. What is object recognition? Why is it needed? 1.To move around safely avoiding objects 2.To pick and place objects 3.Inspect objects Two major issues: 1.representation of models 2.matching of models to images. Invariants.

248 views • 11 slides

AP 220: PCA Process Planning

PROCESS/FACTORY. CHARACTERIZATION. PLANNING. CHARACTERIZATION. PCB/PCA Planning Data. Plan Structure and Org. Operations and Steps Measurement. Work Measurement Standards. AP 220: PCA Process Planning. PCB Fabrication. PRODUCT DESIGN. PCA Assembly. V ariability Characteristics.

92 views • 8 slides

159 views • 1 slides