'Scale image' diaporamas de présentation

Geographic Information Systems

978 views • 68 slides

Non-Photorealistic Rendering

Non-Photorealistic Rendering. Greg Turk College of Computing and GVU Center. Painterly Rendering for Animation Barbara Meier, SIGGRAPH 1996. Painterly Rendering Issues. Frame-to-frame coherence (maintain strokes across time) Idea: fix brush strokes in screen-space

535 views • 39 slides

Large-Scale Nonparametric Image Parsing

sky. building. Large-Scale Nonparametric Image Parsing. car. road. Joseph Tighe and Svetlana Lazebnik University of North Carolina at Chapel Hill. CVPR 2011. Workshop on Large-Scale Learning for Vision. Small-scale image parsing Tens of classes, hundreds of images.

501 views • 32 slides

Large-Scale Nonparametric Image Parsing

sky. building. Large-Scale Nonparametric Image Parsing. car. road. Joseph Tighe and Svetlana Lazebnik University of North Carolina at Chapel Hill. CVPR 2011. Workshop on Large-Scale Learning for Vision. Small-scale image parsing Tens of classes, hundreds of images.

486 views • 32 slides

Large-Scale Nonparametric Image Parsing

sky. building. Large-Scale Nonparametric Image Parsing. car. road. Joseph Tighe and Svetlana Lazebnik University of North Carolina at Chapel Hill. CVPR 2011. Workshop on Large-Scale Learning for Vision. Small-scale image parsing Tens of classes, hundreds of images.

405 views • 32 slides

Outline

A graph, non-tree representation of the topology of a gray scale image Peter Saveliev Marshall University , USA. Outline. A new (directed) graph representation of the topology of a gray scale image is presented.

419 views • 30 slides

Multimedia Data The DCT and JPEG Image Compression

Multimedia Data The DCT and JPEG Image Compression. Dr Mike Spann http://www.eee.bham.ac.uk/spannm M.Spann@bham.ac.uk Electronic, Electrical and Computer Engineering. Contents. The philosophy behind the lossy of processes of DCT image compression.

515 views • 27 slides

Personal Genomics meets Quantitative Proteomics

Personal Genomics meets Quantitative Proteomics. George Church (Harvard GTL & CEGS Centers) 5-Jan-2006 HPCGG Landsdowne 2 PM. Thanks to:. NHGRI Seq Tech 2004: Agencourt , 454, Microchip, 2005: Nanofluidics, Network, VisiGen Affymetrix, Helicos, Solexa-Lynx.

387 views • 27 slides

Lossy Compression of Images Corrupted by Mixed Poisson and Additive Gaussian Noise

Lossy Compression of Images Corrupted by Mixed Poisson and Additive Gaussian Noise Vladimir V. Lukin a , Sergey S. Krivenko a , Mikhail S. Zriakhov a , Nikolay N. Ponomarenko a , Sergey K. Abramov a , Arto Kaarna b , Karen Egiazarian c

396 views • 26 slides

Pre-operative localization of parathyroid adenoma

593 views • 21 slides

Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background

Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background. Baochang Zhang, Yongsheng Gao , Sanqiang Zhao, Bineng Zhong. 2011 IEEE transection on CSVT. Outline. TPF Operator Kernel Similarity Modeling Experiment Result Conclusion.

301 views • 16 slides

Editing Images for the Web

Editing Images for the Web. Optimization/Compression. Graphics optimization is important for fast web page display. Why optimize?. Compress to minimize file storage size Compression can be adjusted with graphic programs allowing for a tradeoff between storage size and image quality

220 views • 11 slides

Cross-section SEM showing buried nanowires in the ceramic matrix.

NIRT: Computing with quantum dots, nanowires and nanodiodes (CCF 0506710) S. Bandyopadhyay 1 , W. Lu 2 and K. L. Wang 3 1 Virginia Commonwealth University, Richmond, VA 2 University of Michigan, Ann-Arbor, MI 3 University of California, Los Angeles, CA.

143 views • 1 slides