'Distance transform' presentation slideshows

Edge Templates, Tracking

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OpenCV Introduction

OpenCV Introduction. Hang Xiao Oct 26, 2012. History. 1999 Jan : lanched by Intel, real time machine vision library for UI, optimized code for intel 2000 Jun : OpenCV alpha 3 ? 2000 Dec : OpenCV beta 1 for linux 2006 : the first 1.0 version supports Mac OS

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CPSC 601

CPSC 601. Geometric Algorithms in Biometrics Dr. Marina L. Gavrilova. Biometric goals. Verify users Identify users Synthesis - recently. Classification of identifiers. Physiological biometric identifiers: fingerprints, hand geometry, eye patterns (iris and retina), facial features

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Pictorial Structures and Distance Transforms

03/31/11. Pictorial Structures and Distance Transforms. Computer Vision CS 543 / ECE 549 University of Illinois Ian Endres. Goal: Detect all instances of objects. Cars. Faces. Cats. Object model: last class. Statistical Template in Bounding Box Object is some (x,y,w,h) in image

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2D Shape Matching (and Object Recognition)

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Motivation

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Distance fields for high school geometry

Distance fields for high school geometry. (work in progress). Mark Sawula Peddie School 17 Apr 10. http://gamma.cs.unc.edu/DIFI/images/HugoVolRenderWireframe.png. Outline. Context How I became interested What is a scalar field? What is a distance field? Distance fields: Points

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Stylized Shadows

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Stylized Shadows

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ENGN 2500 Medical Image Analysis Project Final Presentation

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A* Search Algorithm

A* Search Algorithm. -- Yinfei Yang. What is A* Search Algorithm How A* Algorithm works The A* algorithm in our project. What is A* Search Algorithm. What is A* search algorithm. Description:

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Presenter: Stefan Zickler

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Synthetic Aperture Radar Automatic Target Recognition

Synthetic Aperture Radar Automatic Target Recognition. -Computer Science Department- California Polytechnic State University, San Luis Obispo Alvin Y. Wang and Chia-Huei Yao Faculty Advisor: Dr. John Saghri Project Sponsor: Raytheon Company Contact Personnel: Jeff Hoffner. Agenda.

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Synthetic Aperture Radar Automatic Target Recognition

Synthetic Aperture Radar Automatic Target Recognition. -Computer Science Department- California Polytechnic State University, San Luis Obispo Alvin Y. Wang and Chia-Huei Yao Faculty Advisor: Dr. John Saghri Project Sponsor: Raytheon Company Contact Personnel: Jeff Hoffner. Agenda.

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Summer Project Presentation

Summer Project Presentation. Presented by:Mehmet Eser Advisors : Dr. Bahram Parvin Associate Prof. George Bebis. Introduction. What is morphing ? In what areas is morphing used ? What methods are used for morphing for solid shapes?. What are Solid Shapes?. A slice from a brain MRI scan.

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Dense Image Over-segmentation on a GPU

Alex Rodionov 4/24/2009. Dense Image Over-segmentation on a GPU. Outline. 1) Problem/Motivation 2) Goals 3) Overview of Algorithm 4) Implementation 5) Results 6) Future work & Conclusions. Problem. Applications. Computer vision (object recognition, intelligent segmentation, ...)

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Thanh -Tung Cao Ke Tang Anis Mohamed Tiow-Seng Tan

Thanh -Tung Cao Ke Tang Anis Mohamed Tiow-Seng Tan. Outline. Distance transform and applications Related works Exact Euclidean distance transform Parallel Banding Algorithm ( PBA ) Experiment results. Distance Transform.

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Camera Culture

Ramesh Raskar. Camera Culture. MIT Media Lab. http://raskar.info. Camera Culture. Ramesh Raskar. Bokode. Defocus blur of Bokode. Coding in Angle. Mohan, Woo, Smithwick, Hiura, Raskar [Siggraph 2009]. multi-user interaction. Bokode: Micro-commerce via Camera Phones. Consumer.

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Foreign Body Detection in Ear Under the guidance of : Dr. Phalguni Gupta Mr. Aaditya Nigam

Foreign Body Detection in Ear Under the guidance of : Dr. Phalguni Gupta Mr. Aaditya Nigam. Abhra Dasgupta (13111003) Muktinath Vishwakarma (13111034). Problem Statement. Given an image of an ear we are to detect the presence of a foreign body(e.g.: ear-ring) if present. Literary Survey.

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Dynamic Programming (DP), Shortest Paths (SP)

Dynamic Programming (DP), Shortest Paths (SP). CS664 Lecture 22 Thursday 11/11/04 Some slides care of Yuri Boykov, Dan Huttenlocher. Level sets. [Donald Tanguay]. Level sets and curve evolution. Z. A. Shortest path problem. Lecture theme. B. A.

317 views • 16 slides