'Reference image' diaporamas de présentation

Diffraction

848 views • 59 slides

Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on

Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on Andrea Frome , EECS, UC Berkeley Yoram Singer, Google, Inc Fei Sha , EECS, UC Berkeley

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Homography Based Multiple Camera Detection and Tracking of People in a Dense Crowd

Homography Based Multiple Camera Detection and Tracking of People in a Dense Crowd. Presented by: Idan Aharoni. Ran Eshel and Yael Moses. Motivation. Usually for surveillance, but not only. Many cameras, create enormous amount of data, impossible to track manually.

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An Optimized Soft Shadow Volume Algorithm with Real-Time Performance

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Introduction to Image Quality Assessment

Introduction to Image Quality Assessment. Outline. Applications Image Quality Assessment Image Quality Assessment with Reference Image -Zhou Wang and Alan C. Bovik, ICASSP2002 Blind Image Quality Assessment -Xin Li, ICIP2002. Image Quality ?. Image Quality Assessment. Bad. Good.

845 views • 33 slides

Improved Terrain Generation From UAV Sensors

Improved Terrain Generation From UAV Sensors. Nascent Systems. Presented at MOVES Research and Education Summit July 12-14, 2011 NPS, Monterey CA. By Wolfgang Baer Associate Research Prof. Naval Postgraduate School Monterey, California Baer@nps.edu.

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Live Action First Person Shooter Game

367 views • 26 slides

Image Subtraction

Image Subtraction. or. Peter Nugent(LBNL/UCB). If I Could R edo E verything A gain for PTF, T his I s W hat I Would D o. Peter Nugent(LBNL/UCB). Things to Know.

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Multiple Re-Watermarking Scenarios

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P robing t he L ocal- F eature S pace of I nterest P oints

P robing t he L ocal- F eature S pace of I nterest P oints. ICIP 2010. Wei-Ting Lee, H wann- T zong C hen Department of Computer Science National Tsing Hua University, Taiwan. OUTLINE. Introduction Approach Locality-Sensitive Hashing (LSH) Sketching the Feature Space

333 views • 21 slides

SITEX-01 Out Brief DSN/Sensorware

SITEX-01 Out Brief DSN/Sensorware. Brian Schott (USC ISI East) bschott@east.isi.edu Charles Chien (Rockwell Science Center) Mark Jones (Virginia Tech) Mani Srivastava (UCLA) SensIT Principal Investigator Meeting April 17-20, 2001 - St. Petersburg, FL.

289 views • 21 slides

UCSD Potemkin Honeyfarm

UCSD Potemkin Honeyfarm. Jay Chen, Ranjit Jhala, Chris Kanich, Erin Kenneally, Justin Ma, David Moore, Stefan Savage, Colleen Shannon, Alex Snoeren, Amin Vahdat, Erik Vandekeift, George Varghese, Geoff Voelker , Michael Vrable. Network Telescopes.

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PADS Power Aware Distributed Systems Algorithms

PADS Power Aware Distributed Systems Algorithms. USC Information Sciences Institute Brian Schott, Bob Parker, Ron Riley UCLA Mani Srivastava Rockwell Science Center Charles Chien. Algorithm Development OUTLINE. Multi-resolution acoustic beam-forming for tracking and cueing.

327 views • 20 slides

SELF-SIMILARITY MEASURE FOR ASSESSMENT OF IMAGE VISUAL QUALITY

SELF-SIMILARITY MEASURE FOR ASSESSMENT OF IMAGE VISUAL QUALITY Nikolay Ponomarenko (*), Lina Jin(**), Vladimir Lukin (*) and Karen Egiazarian (**) (*) National Aerospace University, Kharkov, Ukraine (**) Tampere University of Technology, Tampere, Finland. Introduction.

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Cluster of Workstation Based Non-rigid Image Registration Using Free-Form Deformation

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Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics

Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics. IGARSS 2011, Vancouver. Oliver Lang Parivash Lumsdon Astrium GEO-Information Services. Motivation. Thematic mapping in Cloud Belt using single-pol SAR

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2-phase GA-based image registration on parallel clusters

2-phase GA-based image registration on parallel clusters. ??? (Huei Chi Chiu) 2010-1-14. OUTLINE. Introduction Parallel model and implementation Experiment results Q & A!!. I . Introduction. I . Introduction. I. System flowchart. II. Parallel model and implementation. Feature:.

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BEAM ALIGNMENT AND DRIFT OF OPTICS

BEAM ALIGNMENT AND DRIFT OF OPTICS. By: Stephanie Raymond LSU / Millsaps College with Gabriela Gonzalez and Ken Watts. 12 Nov 2003 LIGO-G030597-00-Z. PURPOSE. Aid initial alignment by providing a visual configuration for the operator, supplementary to WFS and dithering.

260 views • 12 slides

HP Optical Media Advance System (OMAS)

HP Optical Media Advance System (OMAS). Media Advance motion encoding (1). Most large format printers measure motion of the media indirectly by encoding an element in the drive system motor shaft (least accurate) final drive roller (most accurate)

244 views • 12 slides