'Invariant feature transform' diaporamas de présentation

Learning Deep Energy Models

821 views • 51 slides

Interest Points II

637 views • 41 slides

Detecting Image Region Duplication Using SIFT Features

Detecting Image Region Duplication Using SIFT Features. Xunyu Pan and Siwei Lyu Computer Science Department University at Albany State University of New York. March 16, ICASSP 2010 Dallas, TX. An Example of Image Region Duplication.

650 views • 40 slides

Scale Invariant Feature Transform (SIFT)

Scale Invariant Feature Transform (SIFT). Outline. SIFT Background SIFT Extraction Application in Content Based Image Search Conclusion. SIFT Background. Scale-invariant feature transform SIFT: to detect and describe local features in an images. Proposed by David Lowe in ICCV1999.

1.35k views • 37 slides

Object Retrieval Using Visual Query Context

Object Retrieval Using Visual Query Context. Linjun Yang Bo Geng Yang Cai Alan Hanjalic Xian-Sheng Hua. Presented By: Shimon Berger. What is a Visual Query?. TinEye Google Image Search Google Goggles. Current Shortcomings. Bounding box Complex shapes User inaccuracy

360 views • 26 slides

Photosynth by Microsoft Live Labs

Photosynth by Microsoft Live Labs. C@CM Presentation Team Members Greg Yoon Saki Koizumi Mike Penrod Hui Han Chin Soojin Yoon. Introduction. Photosynth is an entirely new visual medium developed by Microsoft Live Labs. Introduction.

361 views • 21 slides

CLEF 2007 Medical Image Annotation Task Budapest, September 19-21 2007

CLEF 2007 Medical Image Annotation Task Budapest, September 19-21 2007. An SVM-based Cue Integration Approach. Tatiana Tommasi, Francesco Orabona, Barbara Caputo IDIAP Research Institute, Centre Du Parc, Av. Des Pres-Beudin 20, martigny, Switzerland. Overview. Problem Statement Features

300 views • 18 slides

Puzzle Solver

Puzzle Solver. Sravan Bhagavatula EE 638 Project Stanford ECE. Overview. Purpose of Project High Level Implementation Scale Invariant Feature Transform Explanation of Algorithm Results Future Work. Purpose of Project. Solving a jigsaw Finding placements

276 views • 11 slides

ECE734 Project-Scale Invariant Feature Transform Algorithm

ECE734 Project-Scale Invariant Feature Transform Algorithm. Jing Li. 1. Background. 2. Algorithm introdution. 3. Program implement. Outline. Background: Scale-Invariant Feature Transform (SIFT). Scale-Invariant Feature Transform: Apply in image recognition.

283 views • 10 slides

Variational methods in image processing Week 2

317 views • 10 slides