'Edge map' diaporamas de présentation

Superquadric Recovery in Range Images via Region Growing influenced by Boundary Information

Superquadric Recovery in Range Images via Region Growing influenced by Boundary Information. Master-Thesis Christian Cea Bastidas. Contents. Motivation and Objectives Superquadric and Rim Overview of the Proposed Solution Superquadric Fitting and Rim Fitting

820 views • 68 slides

Lecture 1 4

655 views • 54 slides

Computational Photography CSE 590

Computational Photography CSE 590. Tamara Berg Filtering & Pyramids. Image filtering. Image filtering: compute function of local neighborhood at each position Really important! Enhance images Denoise, resize, increase contrast, etc. Extract information from images

649 views • 53 slides

Variational Image Restoration

Variational Image Restoration. Leah Bar. PhD. thesis supervised by: Prof. Nahum Kiryati and Dr. Nir Sochen*. School of Electrical Engineering *Department of Applied Mathematics Tel-Aviv University, ISRAEL. What is image Restoration?.

574 views • 44 slides

Chapter 4

Chapter 4. Edge/line detection and segmentation. CONTENT. Edge/Line Detection Gradient Operators Roberts Operator Sobel Operator Prewitt Operator Laplacian Operators Segmentation Region Growing and Shrinking Clustering Techniques Boundary Detection. Compass Masks

833 views • 43 slides

Shadow Removal Using Illumination Invariant Image

Shadow Removal Using Illumination Invariant Image. Graham D. Finlayson, Steven D. Hordley, Mark S. Drew. Presented by: Eli Arbel. Outline. Introduction Removing Shadows Reconstruction Illumination Invariant Images Summary. Introduction. Why shadow removal ? Computer Vision

668 views • 42 slides

Removing Shadows From Images

Removing Shadows From Images. G. D. Finlayson 1 , S.D. Hordley 1 & M.S. Drew 2. 1 School of Information Systems, University of East Anglia, UK. 2 School of Computer Science, Simon Fraser University, Canada. Overview. Introduction Shadow Free Grey-scale images

532 views • 41 slides

A Hybrid Strategy for Improving Illumination-Balance of Degraded Text-Photo Images

A Hybrid Strategy for Improving Illumination-Balance of Degraded Text-Photo Images. Chair Professor Chin-Chen Chang Feng Chia University National Chung Cheng University National Tsing Hua University http://msn.iecs.fcu.edu.tw/~ccc. Outline. Introduction The proposed scheme

407 views • 34 slides

Edge Detection

Edge Detection. Phil Mlsna, Ph.D. Dept. of Electrical Engineering Northern Arizona University. Some Important Topics in Image Processing. Contrast enhancement Filtering (both spatial and frequency domains) Restoration Segmentation Image Compression etc. EE 460/560 course, Fall 2003

540 views • 34 slides

Texture Symmetry

Texture Symmetry. A lecture by Alexey Burshtein. Definitions. Regular texture is a periodic pattern containing translation symmetry and (possibly) rotation, reflection and glide-reflection symmetries.

447 views • 32 slides

Phase Congruency Detects Corners and Edges Peter Kovesi

Phase Congruency Detects Corners and Edges Peter Kovesi School of Computer Science & Software Engineering The University of Western Australia. Why We Want Corners

557 views • 29 slides

Phase Congruency Detects Corners and Edges Peter Kovesi

Phase Congruency Detects Corners and Edges Peter Kovesi School of Computer Science & Software Engineering The University of Western Australia. Why We Want Corners

498 views • 29 slides

Phase Congruency Detects Corners and Edges Peter Kovesi

Phase Congruency Detects Corners and Edges Peter Kovesi School of Computer Science & Software Engineering The University of Western Australia. Why We Want Corners

369 views • 29 slides

Presenter: Stefan Zickler

368 views • 27 slides

Image Search Using Deformable Contours

362 views • 26 slides

CUDACL: A Tool for CUDA and OpenCL Programmers

CUDACL: A Tool for CUDA and OpenCL Programmers. Ferosh Jacob 1 , David Whittaker 2 , Sagar Thapaliya 2 , Purushotham Bangalore 2 , Marjan Memik 32 , and Jeff Gray 1 1 Department of Computer Science, University of Alabama

279 views • 16 slides

Gradient Vector Flow Snake

Gradient Vector Flow Snake. C. Xu and J. L. Prince Project Proposal by Charlie Neo. Problem Description. Finding Object Boundaries Snake (Active Contour) is extensively used Initialization Poor convergence to boundaries concavities. Previous Work.

2.06k views • 8 slides