'Local features' diaporamas de présentation

Local features: detection and description

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Instance-level recognition I. - Camera geometry and image alignment

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Image Primitives and Correspondence

Image Primitives and Correspondence. Stefano Soatto added with slides from Univ. of Maryland and R.Bajcsy, UCB Computer Science Department University of California at Los Angeles. Image Primitives and Correspondence.

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Internet-scale Imagery for Graphics and Vision

Internet-scale Imagery for Graphics and Vision. James Hays cs195g Computational Photography Brown University, Spring 2010. Recap from Monday. What imagery is available on the Internet What different ways can we use that imagery aggregate statistics sort by keyword visual search

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MENTAL REPRESENATIONS

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Biologically inspired Mobile Robot Vision Localization

Biologically inspired Mobile Robot Vision Localization. Presenter Folami Alamudun Authors Christian Siagian Laurent Itti. Introduction Vision-based Localization Scene Recognition Topological Maps Biological Vision Localization System Experimental Results Discussion Related work. What?

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Case Discussion

Case Discussion. Dr. Raid Jastania. What is the outcome of inflammation?. A 37-year-old woman gradually developed painful wrists over 3 months; She also complained of generalized weakness and low-grade fever. She consulted her doctor.

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Midterm 1

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Using linking features in learning Non-parametric part models *

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Collaborative Clustering for Entity Clustering

Collaborative Clustering for Entity Clustering. Zheng Chen and Heng Ji Computer Science Department and Linguistics Department Queens College and Graduate Center City University of New York November 5, 2012. Outline. Entity clustering and NIL entity clustering

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Get hurt while hiking

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Where education and salience meet, local dialects retreat

Where education and salience meet, local dialects retreat. Hilary Prichard Robin Dodsworth University of Pennsylvania North Carolina State University NWAV 42 - October 2013. Interaction of education & salience. Prichard and Tamminga (2012) introduced a novel 4-level education index

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Bag of Features Approach: recent work, using geometric information

Bag of Features Approach: recent work, using geometric information. Problem. Search for object occurrences in very large image collection. 2 sub problems. Object Category Recognition and Specific Object Recognition. Motivation. Look for product information Look for similar products.

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Multiple Kernel Learning

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probing i nflation with CMB anisotropies

probing i nflation with CMB anisotropies. Zong-Kuan Guo ( ITP, CAS). ICFPC 2012 ( Weihai ) August 12, 2012. content. inflation cosmic microwave background (CMB) CMB constraints on inflation outlook. 1. inflation. slow-roll inflation. criterions: cosmic acceleration

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SmartAds Bringing Contextual Ads to Mobile Apps

SmartAds Bringing Contextual Ads to Mobile Apps. By Dongcheal Han and Umer Hassan. Statistics (2011 census data). US consumers spend 30% more time on mobile apps compared to traditional web However, advertisement companies spend 16 times less on mobile ads than on webpage ads

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SVD-SIFT FOR WEB NEAR-DUPLICATE IMAGE DETECTION

SVD-SIFT FOR WEB NEAR-DUPLICATE IMAGE DETECTION. Image Processing (ICIP), 2010 17th IEEE International Conference on September 26-29, 2010. Outline. Near-duplicate image Scale Invariant Feature Transform (SIFT) & SURF Introduction Singular Value Decomposition (SVD) Theorem

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Co-training & Self-training for Word Sense Disambiguation

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Moving Cast Shadow Detection using Physics-based Features

Moving Cast Shadow Detection using Physics-based Features. Jia -Bin Huang Chu-Song Chen Taiwan , Taipei CVPR 2009. Outline. Introduction Algorithm Learning Detection Experiment Conclusion. Introduction. Algorithm. Bi-illuminant Dichromatic Reflection Model ( BIDR )

260 views • 11 slides