- ARTICLE IN PRESS Pattern Recognition ( )
- TO APPEAR IN IEEE TRANSACTIONS ON VISUALIZATION AND GRAPHICS 1 A Practical Approach to Spectral Volume
- Fast Multispectral2Gray Ali Alsam1 and Mark S. Drew2
- Removing Shadows from Images Graham D. Finlayson1, Steven D. Hordley1, and Mark S. Drew2
- Detecting Illumination in Images Graham Finlayson and Clement Fredembach Mark S. Drew
- Shadow Removal via Flash/Noflash Illumination Cheng Lu, Mark S. Drew
- Spectral Sharpening with Positivity Mark S. Drew Graham D. Finlayson
- Direct Solution of Orientation--from--Color Problem using a Modification of Pentland's Light Source Direction Estimator
- Robust Specularity Detection from a Single MultiIlluminant Color Image
- Convex Quadratic Programming for Object Localization Hao Jiang, Mark S. Drew and Ze-Nian Li
- Illumination Color Covariant Locale-Based Visual Object Retrieval Mark S. Drew, Ze-Nian Li and Zinovi Tauber
- Classification of Summarized Videos using Hidden Markov Models on Compressed Chromaticity Signatures
- Optimizing Motion Estimation with Linear Programming and Detail-Preserving Variational Method
- Feature Localization and Search by Object Model under Illumination Change
- Pattern Recognition 40 (2007) 19291945 www.elsevier.com/locate/pr
- LEARNING IMAGE SIMILARITIES VIA PROBABILISTIC FEATURE MATCHING Ziming Zhang, Ze-Nian Li, Mark S. Drew
- RENDERING THE PHENOMENA OF VOLUME ABSORPTION IN HOMOGENEOUS TRANSPARENT MATERIALS
- Illumination--Invariant Color Object Recognition via Compressed Chromaticity Histograms of Color--Channel--Normalized Images
- On Illumination Invariance in Color Object Recognition
- Lookup-Table Based Gradient Field Reconstruction Technical Report 2010-10
- Intrinsic Images by Entropy Minimization Graham D. Finlayson1
- Sharpening from Shadows: Sensor Transforms for Removing Shadows using a Single Image
- J. Phys. A: Math. Gen. 16(1983)L37-L40. Printed in Great Britain LETTER TO THE EDITOR
- Representing Spectral Functions by a Composite Model of Smooth and Spiky Components for Efficient Full-Spectrum Photorealism
- Maximum Ignorance Color Correction Maximum Ignorance with Positivity
- Positive Bradford Curves through Sharpening Graham D. Finlayson Mark S. Drew
- Video Dissolve and Wipe Detection via Spatio-Temporal
- Image Object Search Combining Color with Gabor Wavelet Shape Descriptors
- VIDEO SUMMARIZATION BY EFFICIENT CLUSTERING OF COMPRESSED CHROMATICITY SIGNATURES
- A PREDICTIVE CONTOUR INERTIA SNAKE MODEL FOR GENERAL VIDEO TRACKING
- Shape from Color Mark S. Drew
- Spectral sharpening with positivity Mark S. Drew
- Analytic Solution for Separating Spectra into Illumination and Surface Reflectance Components
- Invariant Image Improvement by sRGB Colour Space Sharpening Graham D. Finlayson, 2
- Improved Colour to Greyscale via Integrability Correction Mark S. Drewa, David Connahb, Graham D. Finlaysonb and Marina Blojc
- An Illumination Model for Diffractive Structures Yinlong Sun, F. David Fracchia, Mark S. Drew, Thomas W. Calvert
- Natural Metamers Mark S. Drew and Brian V. Funt
- Vol. 11, No. 5/May 1994/J. Opt. Soc. Am. A 1553 Spectral sharpening: sensor transformations
- Detecting Illumination in Images Graham D. Finlayson1, Clement Fredembach1 and Mark S. Drew2
- Multispectral Processing Without Spectra Mark S. Drew and Graham D. Finlayson
- Multispectral Processing Without Spectra Mark S. Drew and Graham D. Finlayson
- On Illumination Invariance in Color Object Recognition
- Object Segmentation and Tracking Using Video Locales James Au Ze-Nian Li Mark S. Drew
- SPATIOTEMPORAL-CHROMATIC STRUCTURE OF NATURAL SCENES Steven Bergner and Mark S. Drew
- A Composite Spectral Model and Its Applications Yinlong Sun
- Linear Programming for Matching in Human Body Gesture Recognition
- Illumination--Invariant Color Object Recognition via Compressed Chromaticity Histograms of Normalized
- AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach Ziming Zhang, Ze-Nian Li, Mark Drew
- ClosedForm Attitude Determination Under Spectrally Varying Illumination
- Spatial Topology Graphs for Feature-Minimal CorrespondenceSpatial Topology Graphs for Feature-Minimal Correspondence Zinovi Tauber
- Spatio-Chromatic Decorrelation for Color Image Compression
- Recovering Shading from Color Images Brian V. Funt, Mark S. Drew, and Michael Brockington
- Device--Independent Color via Spectral Sharpening
- SFU CMPT TR 199818 A Composite Model for Representing Spectral Functions
- Sensor Transforms for Invariant Image Enhancement
- Constrained least--squares regression in color spaces
- SPIE 3312: Storage and Retrieval for Image and Video Databases VI, Jan.1998 1 Illumination Invariant Video Segmentation by
- Multispectral Image Invariant to Illumination Colour, Strength, and Shading
- Colour image compression by grey to colour conversion Mark S. Drewa, Graham D. Finlaysonb and Abhilash Jindalc
- IMPROVED MACHINE LEARNING FOR IMAGE CATEGORY RECOGNITION BY LOCAL COLOR CONSTANCY
- Colour From Grey by Optimized Colour Ordering Arash Vahdat and Mark S. Drew,
- Sensor Transforms to Improve Metamerism-Based Watermarking
- Perception-based Visualization of High-Dimensional Medical Images Using
- Entropy Minimization for Shadow Removal Graham D. Finlayson
- A tool to create illuminant and reflectance spectra for light-driven graphics and visualization
- REALISTIC COLORIZATION VIA THE STRUCTURE TENSOR Mark S. Drew
- Review and Preview: Disocclusion by Inpainting for Image-based Rendering
- A Standardized Workflow for Illumination-Invariant Image Extraction
- AprilJune 2007 Vol. 14, No. 2 Published by the IEEE Computer Society
- On the Removal of Shadows From Images G. D. Finlayson, S. D. Hordley, C. Lu and M. S. Drew
- Linear Programming Matching and Appearance-Adaptive Object Tracking
- HUMAN POSTURE RECOGNITION WITH CONVEX PROGRAMMING Hao Jiang, Ze-Nian Li and Mark S. Drew
- A Markov Random Field Framework for Finding Shadows in a Single Colour Image
- Spatiotemporal-Chromatic Structure of Natural Scenes
- Recovery of Chromaticity Image Free from Shadows via Illumination Invariance Mark S. Drew
- Tracking Objects with Shadows Hao Jiang and Mark S. Drew
- SHADOW-RESISTANT TRACKING IN VIDEO Hao Jiang and Mark S. Drew
- Interactive Spectral Volume Rendering Steven Bergner
- Object Segmentation and Tracking Using Video Locales James Au Ze-Nian Li Mark S. Drew
- CLASSIFICATION OF SUMMARIZED VIDEOS USING HIDDEN MARKOV MODELS ON COMPRESSED CHROMATICITY
- Rendering Iridescent Colors of Optical Disks Yinlong Sun, F. David Fracchia, Mark S. Drew, Thomas W. Calvert
- International Conference on Color in Graphics and Image Processing -CGIP'2000 RENDERING LIGHT DISPERSION WITH
- Rendering Diamonds Yinlong Sun, F. David Fracchia, and Mark S. Drew
- IlluminationInvariant Color Object Recognition via Compressed Chromaticity Histograms of ColorChannelNormalized Images
- Reduction of Rank-Reduced Orientation-from-Color Problem with Many Unknown Lights to Two-Innage Known-Illuminant
- Closed-Form Attitude Determination Under Spectrally Varying Illumination
- Closed-Form Attitude Determination Under Spectrally Varying Illumination
- Diagonal Transforms Suffice for Color Constancy Graham D. Finlayson, Mark S. Drew and Brian V. Funt
- Vol. 9,No. 8/August 1992/J. Opt. Soc. Am. A 1255 Variational approach to interreflection in color images
- Batch Logo --A Strategy for Introducin g PL/1 and Structured Programming to Gifted High School Student s
- On Conformally Covariant Spinor Field Equations MARKS. DREW
- On the Scale Dimension of Conformally Covariant Spinor Fields MARKS. DREW
- Automatic Compensation for Camera Settings for Images Taken under Different Illuminants
- REMOVING SHADOWS USING FLASH/NOFLASH IMAGE EDGES Mark S. Drew1
- Successive Convex Matching for Action Detection Hao Jiang, Mark S. Drew and Ze-Nian Li
- Analysis of Spatio-chromatic Decorrelation for Colour Image Reconstruction
- Clustering of Compressed Illumination-Invariant Chromaticity Signatures for Efficient Video Summarization
- Color from Shape from Color: A Simple Formalism with Known Light Sources
- Fast Colour2Grey Ali Alsam1 and Mark S. Drew2
- White-point preserving color correction Graham D. Finlayson Mark S. Drew
- Matrix Calculations for Digital Photography Paul M. Hubel and Jack Holm Graham D. Finlayson Mark S. Drew
- Colour Printer Characterization by Regression with Greyspace Constraint
- Natural Metamers Mark S. Drew and Brian V. Funt
- Improved Machine Learning for Image Category Recognition by Local Color Constancy Hamid Reza Vaezi Joze Mark S. Drew School of Computing Science
- LOCALE-BASED OBJECT SEARCH UNDER ILLUMINATION CHANGE USING CHROMATICITY VOTING AND ELASTIC CORRELATION
- International Journal of Computer Vision, 6:1, 5-24 (1991) 1991 Kluwer Academic Publishers, Manufactured in The Netherlands.
- Constrained least-squares regression in color Graham D. Finlayson
- Spectral Sharpening with Positivity Mark S. Drew Graham D. Finlayson
- Shadow Resistant Tracking using Inertia Constraints Hao Jiang and Mark S. Drew
- On the Removal of Shadows from Images Graham D. Finlayson, Member, IEEE, Steven D. Hordley, Cheng Lu, and Mark S. Drew, Member, IEEE
- Photometric stereo without multiple images Mark S. Drew *
- International Journal of Smart Engineering System Design, 2002 An Automatic Video Classification System Based on a
- Optimization Approach to Dichromatic Images Mark S. Drew
- 2 Goes Into 3: Reduction of RankReduced OrientationfromColor Problem with Many Unknown Lights to
- Action Detection in Cluttered Video with Successive Convex Matching
- Color Constancy: Enhancing von Kries Adaptation via Sensor Transformations Graham D. Finlayson, Mark S. Drew and Brian V. Funt
- VIDEO DISSOLVE AND WIPE DETECTION VIA SPATIO-TEMPORAL IMAGES OF CHROMATIC HISTOGRAM DIFFERENCES
- Practical Scene Illuminant Estimation via Flash/No-Flash Pairs Cheng Lu and Mark S. Drew; School of Computing Science, Simon Fraser University, Vancouver, British Columbia, Canada V5A 1S6
- Positive Bradford Curves through Graham D. Finlayson Mark S. Drew
- Feature Localization and Search by Object Model under Illumination Change
- DREW, HAJARI, HEL-OR, MALZBENDER: SPECULARITY / SHADOW INTERPOLATION 1 Specularity and Shadow Interpolation via
- FULL SEARCH CONTENT INDEPENDENT BLOCK MATCHING BASED ON THE FAST FOURIER TRANSFORM
- Towards automatic segmentation of MS lesions in PD/T2 MR images
- VIDEO KEYFRAME PRODUCTION BY EFFICIENT CLUSTERING OF COMPRESSED CHROMATICITY SIGNATURES
- Shadow Segmentation and Shadow-Free Chromaticity via Markov Random Fields
- Shape Retrieval with Eigen-CSS Search Mark S. Drew, a,,1
- Recovering Shading from Color Images Brian V. Funt, Mark S. Drew, and Michael Brockington
- Colour Eigenfaces Graham D. Finlayson y , Janet Dueck ? , Brian V. Funt ? , and Mark S. Drew ?
- Towards automatic segmentation of MS lesions in PD/T2 MR images
- Whitepoint preserving color correction Graham D. Finlayson Mark S. Drew
- Photometric stereo without multiple images Mark S. Drew \Lambda
- Construction of a Hierarchical Classifier Schema using a Combination of Text-Based and Image-Based Approaches
- DETECTING HUMAN ACTION IN ACTIVE VIDEO Hao Jiang, Ze-Nian Li and Mark S. Drew
- 1 Introduction A spectrally based
- Visualizing Diffusion Tensor Dissimilarity using an ICA Based Perceptual Colour Metric
- 3D Object Recognition by Eigen-Scale-Space of Tim K. Lee1,2
- Outlier Detection and Physical Model in the Orientation--from--Color Problem
- Matching by Linear Programming and Successive Convexification
- Improvement of Colorization Realism via the Structure Tensor
- TC42/WG18 98 -______ TC130/WG3 98 -______
- Illumination Invariant Image Retrieval and Video Segmentation Mark S. Drew, Jie Wei, and Ze-Nian Li
- Planckian Regression Temperature for Least Spectral Error and Least CIELAB Error
- August 21, 2011 15:4 WSPC/INSTRUCTION FILE ijig2011 International Journal of Image and Graphics
- Robust Estimation of Surface Properties and Interpolation of Shadow/Specularity Components
