'Scale invariant' presentation slideshows

Segmentation and Perceptual Grouping

Segmentation and Perceptual Grouping. The problem Gestalt Edge extraction: grouping and completion Image segmentation. Camouflage. Kanizsa Triangle. The image of this cube contradicts the optical image. Perceptual Organization. Atomism, reductionism:

939 views • 78 slides

Project 3 questions?

Project 3 questions?. 10/21/11. Interest Points and Instance Recognition. Computer Vision CS 143, Brown James Hays. Many slides from Kristen Grauman and Derek Hoiem. Last time. Detecting corner-like points in an image. Today. Local invariant features Detection of interest points

699 views • 61 slides

Advance Computer Vision

Advance Computer Vision. Lectures 03 Roger S. Gaborski. Reference Examples. Recognizing Indoor Scenes Ariadna Quattoni and Antonio Torralba (http:// people.csail.mit.edu / torralba /publications/ indoor.pdf ) Building the gist of a scene: the role of global image features in recognition

595 views • 51 slides

Object Recognition

Object Recognition. So what does object recognition involve?. Verification: is that a bus?. Detection: are there cars?. Identification: is that a picture of Mao?. Object categorization. sky. building. flag. face. banner. wall. street lamp. bus. bus. cars.

1.42k views • 48 slides

Computer Vision

Computer Vision. Lecture 13 Roger S. Gaborski. http://www.youtube.com/watch?v= NPcMS49V5hg SIFT http://www.youtube.com/watch?v= U0wqePj4Mx0 SIFT Object Recognition using VLfeat http://www.youtube.com/watch?v= PU6BKIh1y4o http://www.youtube.com/watch?v= 0KLuBlGdFvw.

686 views • 48 slides

Why there are many alternatives to inflation ?

559 views • 46 slides

Features, Feature descriptors, Matching

594 views • 38 slides

STATISTICAL INFERENCE PART III

STATISTICAL INFERENCE PART III. EXPONENTIAL FAMILY, LOCATION AND SCALE PARAMETERS. EXPONENTIAL CLASS OF PDFS. X is a continuous (discrete) rv with pdf f(x; ?), ??? . If the pdf can be written in the following form.

499 views • 35 slides

Automatic Matching of Multi-View Images

Automatic Matching of Multi-View Images. Ed Bremer University of Rochester. References. [1] Mikolajczyk, K., Schmid, C., 2004, A performance evaluation of local descriptors, Submitted to PAMI, October 2004, http://lear.inrialpes.fr/pubs/2004/MS04a

513 views • 34 slides

deformable

Heat. diffusion. descriptors. for. deformable. shapes. Michael Bronstein. Institute of Computational Science Universita della Svizzera Italiana Lugano , Switzerland. Weizmann Institute of Science, 4 November 2010. Alex Bronstein TAU. Maks Ovsjanikov Stanford. Leo Guibas Stanford.

454 views • 34 slides

Geometric Integration of Differential Equations 2. Adaptivity, scaling and PDEs Chris Budd

Geometric Integration of Differential Equations 2. Adaptivity, scaling and PDEs Chris Budd. Previous lecture considered constant step size Symplectic methods for Hamiltonian ODEs. Now we will look at variable step size adaptive methods for ODES

487 views • 34 slides

Object Tracking/Recognition using Invariant Local Features

417 views • 28 slides

Scale vs Conformal invariance from holographic approach

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Holographic judgement on Scale vs Conformal invariance

Holographic judgement on Scale vs Conformal invariance. Yu Nakayama ?? IPMU & Caltech ?. Field theory part: based on appendix of arxiv/1208.4726 Holographic part: many earlier papers of mine Japanese article will appear in JSPS periodical. Q: Is N=4 SYM really conformal invariant?.

369 views • 23 slides

Learning Scale-Invariant Contour Completion

Learning Scale-Invariant Contour Completion. Xiaofeng Ren, Charless Fowlkes and Jitendra Malik. Abstract.

358 views • 22 slides

Latest Measurements in Cosmology and their Implications

280 views • 22 slides

Lecture 19 Unsupervised and One-Shot Learning

405 views • 22 slides

Advent of Precision Cosmology: Results of the WMAP Experiment

303 views • 20 slides

Se- Hoon Park

Backgrounds for feature extraction. Se- Hoon Park. 26 th August 2014. Table of contents. Edge detection -> Canny edge detector A combined corner and edge detector . C Harris , M Stephens - Alvey vision conference, 1988 (citation : 9984)

275 views • 15 slides

Fourier Descriptors For Shape Recognition

Fourier Descriptors For Shape Recognition. Applied to Tree Leaf Identification By Tyler Karrels. Motivation. Shape recognition can be useful any time we want to detect a distinct shape. Seek one description that can characterize all shapes to a desired accuracy.

634 views • 15 slides