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Fast Image Deconvolution using HyperLaplacian Priors Dilip Krishnan Dept

Fast Image Deconvolution using HyperLaplacian Priors Dilip Krishnan Dept

  • tatiana-dople
  • 9 Slides

of Computer Science Courant Institute New York Un...

Deconvolution using natural image priors Anat Levin Rob Fergus Fredo Durand William T

Deconvolution using natural image priors Anat Levin Rob Fergus Fredo Durand William T

  • faustina-dinatale
  • 3 Slides

Freeman Massachusetts Institute of Technology Com...

Good Image Priors for Nonblind Deconvolution Generic vs Specic Libin Sun Sunghyun Cho Jue Wang and James Hays Brown University Providence RI USA Adobe Research Seattle WA USA lbsunhays cs

Good Image Priors for Nonblind Deconvolution Generic vs Specic Libin Sun Sunghyun Cho Jue Wang and James Hays Brown University Providence RI USA Adobe Research Seattle WA USA lbsunhays cs

  • natalia-silvester
  • 16 Slides

brownedu sodomaupostechackr juewangadobecom Abstra...

Invariant Scattering Convolution Networks Joan Bruna Member IEEE and Ste phane Mallat Fellow IEEE Abstract A wavelet scattering network computes a translation invariant image representation which is

Invariant Scattering Convolution Networks Joan Bruna Member IEEE and Ste phane Mallat Fellow IEEE Abstract A wavelet scattering network computes a translation invariant image representation which is

  • lois-ondreau
  • 15 Slides

It cascades wavelet transform convolutions with n...

Invariant Scattering Convolution Networks Joan Bruna and St ephane Mallat CMAP Ecole Polytechnique Palaiseau France Abstract A wavelet scattering network computes a translation invar i ant image repr

Invariant Scattering Convolution Networks Joan Bruna and St ephane Mallat CMAP Ecole Polytechnique Palaiseau France Abstract A wavelet scattering network computes a translation invar i ant image repr

  • myesha-ticknor
  • 16 Slides

It cascades wavelet trans form convolutions with ...

The image part with relationship ID rId was not found in the file

The image part with relationship ID rId was not found in the file

  • test
  • 14 Slides

brPage 13br brPage 14br

AN EFFICIENT REPRESENTATION OF DIGITAL CURVES WITH LINE SEGMENTS AND ELLIPTICAL ARCS C

AN EFFICIENT REPRESENTATION OF DIGITAL CURVES WITH LINE SEGMENTS AND ELLIPTICAL ARCS C

  • min-jolicoeur
  • 6 Slides

Paramanand AN Rajagopalan Image Processing and Co...

Blocks World Revisited Image Understanding Using Qualitative Geometry and Mechanics Abhinav Gupta Alexei A

Blocks World Revisited Image Understanding Using Qualitative Geometry and Mechanics Abhinav Gupta Alexei A

  • natalia-silvester
  • 14 Slides

Efros and Martial Hebert Robotics Institute Carne...

The Pyramid Match Kernel Discriminative Classication with Sets of Image Features Kristen Grauman and Trevor Darrell Massachusetts Institute of Technology Computer Science and Articial Intelligence La

The Pyramid Match Kernel Discriminative Classication with Sets of Image Features Kristen Grauman and Trevor Darrell Massachusetts Institute of Technology Computer Science and Articial Intelligence La

  • tatyana-admore
  • 8 Slides

Kernelbased classi64257ca tion methods can learn ...

IJARCSSE All Rights Reserved Page Research Paper Available online at www

IJARCSSE All Rights Reserved Page Research Paper Available online at www

  • min-jolicoeur
  • 3 Slides

ijarcssecom tudy o f Image Enhancement Techniques ...

Geometrical Theory of Diffraction for Modeling Acoustics in Virtual Environments Category research Submitted to SIGGRAPH Abstract Realistic modeling of reverberant sound is crucial in D virtual worl

Geometrical Theory of Diffraction for Modeling Acoustics in Virtual Environments Category research Submitted to SIGGRAPH Abstract Realistic modeling of reverberant sound is crucial in D virtual worl

  • tawny-fly
  • 8 Slides

Unfortunately current geometric acoustic modeling...

Moving Gradients A PathBased Method for Plausible Image Interpolation Dhruv Mahajan Columbia University FuChung Huang UC Berkeley Wojciech Matusik Adobe Systems Ravi Ramamoorthi UC Berkeley Peter Bel

Moving Gradients A PathBased Method for Plausible Image Interpolation Dhruv Mahajan Columbia University FuChung Huang UC Berkeley Wojciech Matusik Adobe Systems Ravi Ramamoorthi UC Berkeley Peter Bel

  • karlyn-bohler
  • 10 Slides

While we show only three frames above our method ...

Chapter OffAxis Leith Upatnieks Holograms Many of the shortcomings of inline Gabor holograms have been overcome by going to an offaxis geometry that allows the various image components to be separa

Chapter OffAxis Leith Upatnieks Holograms Many of the shortcomings of inline Gabor holograms have been overcome by going to an offaxis geometry that allows the various image components to be separa

  • sherrill-nordquist
  • 8 Slides

These discoveries were made by Emmett Leith and J...

Datadriven Visual Similarity for Crossdomain Image Matching Abhinav Shrivastava Carnegie Mellon University Tomasz Malisiewicz MIT Abhinav Gupta Carnegie Mellon University Alexei A

Datadriven Visual Similarity for Crossdomain Image Matching Abhinav Shrivastava Carnegie Mellon University Tomasz Malisiewicz MIT Abhinav Gupta Carnegie Mellon University Alexei A

  • mitsue-stanley
  • 9 Slides

Efros Carnegie Mellon University Figure 1 In this...

Introduction An image intensifier is a vacuum tube device generally mm in diameter

Introduction An image intensifier is a vacuum tube device generally mm in diameter

  • sherrill-nordquist
  • 5 Slides

The intensifier see Figure 1 comprises a photocat...

IMAGING THERAPEUTIC TECHNOLOGY The AAPMRSNA Physics Tutorial for Residents Xray Image Intensifiers for Fluoroscopy Jihong Wang PhD Timothy J

IMAGING THERAPEUTIC TECHNOLOGY The AAPMRSNA Physics Tutorial for Residents Xray Image Intensifiers for Fluoroscopy Jihong Wang PhD Timothy J

  • cheryl-pisano
  • 7 Slides

Blackburn PhD The xray image intensifier converts...

Moving Gradients A PathBased Method for Plausible Image Interpolation Dhruv Mahajan Columbia University FuChung Huang UC Berkeley Wojciech Matusik Adobe Systems Inc

Moving Gradients A PathBased Method for Plausible Image Interpolation Dhruv Mahajan Columbia University FuChung Huang UC Berkeley Wojciech Matusik Adobe Systems Inc

  • celsa-spraggs
  • 11 Slides

Ravi Ramamoorthi UC Berkeley Peter Belhumeur Colu...

Bernd Girod EEb Image and Video Compression Motion Compensation no

Bernd Girod EEb Image and Video Compression Motion Compensation no

  • lois-ondreau
  • 11 Slides

1 Overview motion compensated coding Motion compe...

Signal Image Processing An International Journa l SIPIJ Vol

Signal Image Processing An International Journa l SIPIJ Vol

  • marina-yarberry
  • 17 Slides

3 No5 October 2012 DOI 105121sipij20123501 1 JunY...

Contour Detection and Hierarchical Image Segmentation Pablo Arbel aez Member IEEE Michael Maire Member IEEE Charless Fowlkes Member IEEE and Jitendra Malik Fellow IEEE

Contour Detection and Hierarchical Image Segmentation Pablo Arbel aez Member IEEE Michael Maire Member IEEE Charless Fowlkes Member IEEE and Jitendra Malik Fellow IEEE

  • stefany-barnette
  • 20 Slides

Abstract This paper investigates two fundamental ...

Geodesic Star Convexity for Interactive Image Segmentation Varun Gulshan Carsten Rother Antonio Criminisi Andrew Blake and Andrew Zisserman Dept

Geodesic Star Convexity for Interactive Image Segmentation Varun Gulshan Carsten Rother Antonio Criminisi Andrew Blake and Andrew Zisserman Dept

  • marina-yarberry
  • 8 Slides

of Engineering Science University of Oxford UK va...

Image Smoothing via Gradient Minimization Li Xu Cewu Lu Yi Xu Jiaya Jia Department of Computer Science and Engineering The Chinese University of Hong Kong Figure smoothing accomplished by global sma

Image Smoothing via Gradient Minimization Li Xu Cewu Lu Yi Xu Jiaya Jia Department of Computer Science and Engineering The Chinese University of Hong Kong Figure smoothing accomplished by global sma

  • phoebe-click
  • 12 Slides

Our method suppresses low amplitude details Mean ...

Signal Image Processing An International Journa lSIPIJ Vol

Signal Image Processing An International Journa lSIPIJ Vol

  • yoshiko-marsland
  • 11 Slides

2 No1 March 2011 DOI 105121sipij20112107 82 Geoff...

ContentFree Image Retrieval May C

ContentFree Image Retrieval May C

  • yoshiko-marsland
  • 6 Slides

Lawrence Zitnick Takeo Kanade Robotics Institute ...

Query Specic Fusion for Image Retrieval Shaoting Zhang MingYang Timothee Cour KaiYu and Dimitris N

Query Specic Fusion for Image Retrieval Shaoting Zhang MingYang Timothee Cour KaiYu and Dimitris N

  • lois-ondreau
  • 14 Slides

Metaxas NEC Laboratories America Inc Cupertino CA...

Ground truth dataset and baseline evaluations for intrinsic image algorithms Roger Grosse Micah K

Ground truth dataset and baseline evaluations for intrinsic image algorithms Roger Grosse Micah K

  • stefany-barnette
  • 8 Slides

Johnson Edward H Adelson William T Freeman Massac...

A Simple Model for Intrinsic Image Decomposition with Depth Cues Qifeng Chen Vladlen Koltun Stanford University Adobe Research Abstract We present a model for intrinsic decomposition of RGBD images

A Simple Model for Intrinsic Image Decomposition with Depth Cues Qifeng Chen Vladlen Koltun Stanford University Adobe Research Abstract We present a model for intrinsic decomposition of RGBD images

  • pasty-toler
  • 8 Slides

Our approach analyzes a single RGBD image and est...

RO BOT Reference Thresholds Carnegie Mellon Robotics Academy For use with LEGO MINDSTORMS Education NXT software and base set If you look at this image it shows an NXT using an Ultrasonic sensor

RO BOT Reference Thresholds Carnegie Mellon Robotics Academy For use with LEGO MINDSTORMS Education NXT software and base set If you look at this image it shows an NXT using an Ultrasonic sensor

  • natalia-silvester
  • 1 Slides

The threshold in this case is 25cm We can create ...

High Accuracy Optical Flow Estimation Based on a Theory for Warping Thomas Brox Andr es Bruhn Nils Papenberg and Joachim Weickert Mathematical Image Analysis Group Faculty of Mathematics and Computer

High Accuracy Optical Flow Estimation Based on a Theory for Warping Thomas Brox Andr es Bruhn Nils Papenberg and Joachim Weickert Mathematical Image Analysis Group Faculty of Mathematics and Computer

  • yoshiko-marsland
  • 12 Slides

unisaarlandde httpwwwmiaunisaarlandde Abstract We ...

ShiftMap Image Editing Yael Pritch Eitam KavVenaki Shmuel Peleg School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem Israel Abstract Geometric rearrangement of ima

ShiftMap Image Editing Yael Pritch Eitam KavVenaki Shmuel Peleg School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem Israel Abstract Geometric rearrangement of ima

  • natalia-silvester
  • 8 Slides

Each such operation can be characterized by a shi...

Interactive DeWeathering of an Image using Physical Models Srinivasa G

Interactive DeWeathering of an Image using Physical Models Srinivasa G

  • calandra-battersby
  • 8 Slides

Narasimhan and Shree K Nayar Computer Science Dep...

Image Hallucination with Primal Sketch Priors Jian Sun NanNing Zheng Hai Tao HeungYeung Shum The Institute of AI and Robotics Department of C

Image Hallucination with Primal Sketch Priors Jian Sun NanNing Zheng Hai Tao HeungYeung Shum The Institute of AI and Robotics Department of C

  • briana-ranney
  • 8 Slides

E Microsoft Research Asia Xian Jiaotong University...

Image Processing Techniques for Video Content Extraction Ins Oliveira Nuno Correia Nuno Guimares INESCIST R

Image Processing Techniques for Video Content Extraction Ins Oliveira Nuno Correia Nuno Guimares INESCIST R

  • ellena-manuel
  • 10 Slides

Alves Redol 9 6o 1000 Lisboa email InesOliveiraNu...

IMAGE PROCESSING TECHNIQUES FOR MACHINE VISION Alberto Martin and Sabri Tosunoglu Florida International University Department of Mechanical Engineering West Flagler Street Miami Florida Email tosun

IMAGE PROCESSING TECHNIQUES FOR MACHINE VISION Alberto Martin and Sabri Tosunoglu Florida International University Department of Mechanical Engineering West Flagler Street Miami Florida Email tosun

  • stefany-barnette
  • 9 Slides

fiuedu Abstract Image Processing Algorithms are th...

Quantizer Design and Distributed Encoding Algorithm for Source Localization in Sensor Networks Yoon Hak Kim Signal and Image Processing Institute Department of Electrical Engineering University of So

Quantizer Design and Distributed Encoding Algorithm for Source Localization in Sensor Networks Yoon Hak Kim Signal and Image Processing Institute Department of Electrical Engineering University of So

  • trish-goza
  • 8 Slides

uscedu Antonio Ortega Signal and Image Processing ...

Online adaptive radial basis function networks for robust object tracking R

Online adaptive radial basis function networks for robust object tracking R

  • olivia-moreira
  • 14 Slides

Venkatesh Babu a S Suresh Anamitra Makur Exawin...

APPENDIX A Qualifications Special Inspection Category Code Section Primary Inspector or Inspection Supervisor Supplemental Inspector Alternative under direct supervision of Inspection Supervisor

APPENDIX A Qualifications Special Inspection Category Code Section Primary Inspector or Inspection Supervisor Supplemental Inspector Alternative under direct supervision of Inspection Supervisor

  • alida-meadow
  • 11 Slides

General Building Construction Wall Panels Curtain...

Digital Readouts Shown left M M and MOT digital readouts

Digital Readouts Shown left M M and MOT digital readouts

  • sherrill-nordquist
  • 2 Slides

Click on the image for a larger view A Boeckeler ...

Mathematics Enhanced Scope and Sequence Grade Virginia Department of Education Rolling Rectangles Reporting Category Measurement Topic Finding rea and erimeter Primary SOL

Mathematics Enhanced Scope and Sequence Grade Virginia Department of Education Rolling Rectangles Reporting Category Measurement Topic Finding rea and erimeter Primary SOL

  • tatiana-dople
  • 4 Slides

8 The student will find perimeter area and volu me...

Basic Principles of Surface Reflectance Thanks to Shree Nayar Ravi Ramamoorthi Pat Hanrahan Surface Appearance Image intensities normal surface reflectance illumination Surface Reflection depends

Basic Principles of Surface Reflectance Thanks to Shree Nayar Ravi Ramamoorthi Pat Hanrahan Surface Appearance Image intensities normal surface reflectance illumination Surface Reflection depends

  • lois-ondreau
  • 27 Slides

source sensor surface element normal brPage 3br B...

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