Home
People
Research Projects
Publications
Lab Manual
Software
Directions
 

 

 

Welcome to

Vision, Imaging Science and Technology Laboratory

Wandell References

Color Vision

General or Tutorial Papers


Color Appearance Papers

  1. Trichromatic Opponent Color Classification
    E.J. Chichilnisky and B. A. Wandell (1999).    Abstract. Data. Vision Research , v. 39, no. 20, pp. 3444-58.
  2. Seeing gray through the ON- and OFF- pathways.
    E.J. Chichilnisky and B.A. Wandell (1996). Visual Neuroscience , v. 13, pp. 591-596.
  3. Color appearance of mixture gratings.
    K-H Baeuml and B. Wandell (1996). Vision Research , , v. 36, no. 18, pp.2849-2864.
  4. Pattern-color separable pathways predict sensitivity to simple colored patterns
    Poirson and Wandell (1996). Vision Research , v. 36, no. 4, 515-526
  5. Photoreceptor sensitivity changes explain color appearance shifts induced by large uniform backgrounds in dichoptic matching.
    E.J. Chichilnisky and B.A. Wandell (1995). Vision Research , v. 35, no. 2, pp. 239-254.
  6. Appearance of colored patterns: pattern-color separability
    Allen B. Poirson, Brian A. Wandell (December 1993). JOSA A , Vol. 10 Issue 12 Page 2458-2470
  7. Asymmetric color matching: how color appearance depends on the illuminant
    David H. Brainard, Brian A. Wandell (September 1992). JOSA A , Vol. 9 Issue 9 Page 1433
  8. Analysis of the retinex theory of color vision
    David H. Brainard, Brian A. Wandell (October 1986). JOSA A , Vol. 3 Issue 10 Page 1651
  9. Color constancy: a method for recovering surface spectral reflectance
    Laurence T. Maloney, Brian A. Wandell (January 1986). JOSA A , Vol. 3 Issue 1 Page 29

Chromatic aberration


Chromatic aberration Software

Functional MRI

Reviews

  1. Functional Neuroimaging of the Visual Pathways .
    B. Wandell and A. Wade (2003). Neurologic Clinics . Elsevier. 21. pp. 417-443. (This is a preprint).
  2. Computational Neuroimaging of Human Visual Cortex.
    B. Wandell (1999). Annual Review of Neuroscience v. 10 no. 22 Computational Neuroimaging of Human Visual Cortex
  3. Computational Neuroimaging: Color Representations and Processing.
    B. Wandell (1999). Cognitive Neuroscience edited by Michael Gazzaniga.  (This is a pre-print).
  4. Computational Neuroimaging: Color tuning in two human cortical areas measured using fMRI.
    Wandell, Baseler, Boynton and Engel (2000). Color Vision: From Molecular Genetics to Perception .
    Ed. K. Gegenfurtner and L. T. Sharpe, Cambridge University Press.

    Slides From the Society for Information Display Overview (2002)
    Boston, Public Presentation

Visual Areas and Development

  1. Long-term deprivation affects visual perception and cortex.
    Fine I, Wade AR, Brewer AA, May MG, Goodman DF, Boynton GM, Wandell BA, MacLeod DI (2003).
    Nature Neuroscience 6(9) pp. 915-916
  2. Visual areas in macaque cortex measured using functional magnetic resonance imaging
    A. A. Brewer, W. A. Press, N. K. Logothetis, and B. A. Wandell (2002)
    J. Neurosci. 22(23) pp. 10416-10426
  3. Reorganization of human cortical maps caused by inherited photoreceptor abnormalities
    Heidi A. Baseler, Alyssa A. Brewer, Lindsay T. Sharpe, Antony B. Morland , Herbert Jägle and Brian A. Wandell (2002).
    Nature Neuroscience , Apr;5(4):364-70.
  4. Visual Areas and Spatial Summation in Human Visual Cortex
    Press, Brewer, Dougherty, Wade and Wandell (2001). Vision Research , v 41, pp. 1321-1332
  5. Abnormal retinotopic representations in human visual cortex revealed by fMRI.
    Morland AB, Baseler HA, Hoffmann MB, Sharpe LT, Wandell BA. Acta Psychol (Amst) 2001 Apr; 107(1-3):229-47
  6. Topographic Organization of Human Visual Areas in the Absence of Input from Primary Cortex
    Heidi A. Baseler, Antony B. Morland, and Brian A. Wandell. J. Neurosci. 1999 19: 2619-2627.
  7. Extrastriate visual signals in the absence of striate cortex in a human hemianope
    Baseler, Morland and Wandell (1998). NeuroImage Human Brain Mapping Meeting Abstract.
  8. Retinotopic organization in human visual cortex and the spatial precision of functional MRI
    Engel, Glover and Wandell (1997). Cerebral Cortex , Vol. 7, no. 2, pp. 181-92.
  9. Functional magnetic resonance imaging of human visual cortex
    Engel, Rumelhart, Wandell, Lee, Shadlen, and Glover (1994). Nature , June 16. Vol. 369, p. 525.

Color

  1. Chromatic Light Adaptation Measured using Functional Magnetic Resonance Imaging .
    A. R. Wade and Brian A. Wandell (2002).  J. Neurosci , 22 (18):8148-8157
  2. Functional Measurements of Human Ventral Occipital Cortex: Retinotopy and Color .
    A. R. Wade, A. Brewer, and Brian A. Wandell (2002). 
    Philosophical Transactions of the Royal Society, Series B. (London) Vol: 357 No. 1424 pp. p963- p973
  3. Perceived speed of colored stimuli .
    R. F. Dougherty, William A. Press, Brian A. Wandell (1999).  Neuron , vol 24 893-899.
  4. Color signals in human motion selective cortex.
    B. A. Wandell, Allen B. Poirson, William T. Newsome, Heidi Baseler, Geoffrey Boynton, Alex Huk, Sunil Ghandi and Lindsay T. Sharpe (1999).
    Neuron , vol. 24, 901-909.
  5. Color signals in are MT of the macaque monkey .
    E. Seidemann, A. B. Poirson, B. A. Wandell, W. T. Newsome (1999).  Neuron , vol. 24 911-917.
  6. Color tuning in human visual cortex measured using functional magnetic resonance imaging.
    Engel, Zhang and Wandell (1997). Nature , July 3, v. 388, no. 6637.
    The brief Nature paper did not provide an adequate description of the spatial properties of the stimulus,
    whose diameter subtended 20 deg of visual angle.

Visualization

  • Visualization and Measurement of the Cortical Surface
    B. Wandell, S. Chial and B. Backus (2000). Journal of Cognitive Neuroscience,  vol. 12, no. 5. pp. 739-52.
    This paper describes the methods used in the unfolding software that we distribute (see below).  It also provides an overview of the principles, problems, and related methods that can be found at other sites.
  • Creating Connected Representations of Cortical Gray Matter for Functional MRI Visualization
    Teo, Sapiro and Wandell (1997). IEEE Med. Transactions , vol. 16 (6), 852-863.
    This paper describes the algorithm for obtaining a segmented and connected gray matter representation from T1 weighted MR images. The algorithm is implemented in the software package we distribute (see below).

Visualization software

Image Systems Engineering

Review articles


Illuminant and Surface Estimation

  1. Natural scene-illuminant estimation using the sensor correlation .
    S. Tominaga and B. A. Wandell (2002). Proceedings of the IEEE . Vol. 90, Issue 1, pp. 42-56.
  2. Illuminating Illumination .
    Jeffrey M. DiCarlo, Feng Xiao and Brian A Wandell, Ninth Color Imaging Conference , pgs. 27-34, 2001.
  3. Scene illuminant classification: brighter is better click here to see {Color figures} .
    S. Tominaga, S. Ebisui, and B. A. Wandell (2001). JOSA A , vol 18, no. 1 pp. 55-64.
  4. Illuminant Estimation: Beyond the Bases
    J. M. DiCarlo and B. A. Wandell (2000). Eighth Color Imaging Conference, pgs. 91-96, Scottsdale, AZ, USA
  5. Estimating Spectral Reflectance of Art Work
    Farrell, Saunders, Cuppitt, Wandell (1999). Chiba Conference on Multispectral Imaging .
  6. Linear models of surface and illuminant spectra
    David H. Marimont, Brian A. Wandell, JOSA A , Vol. 9 Issue 11 Page 1905 (November 1992)
  7. Component estimation of surface spectral reflectance
    Shoji Tominaga, Brian A. Wandell, JOSA A , Vol. 7 Issue 2 Page 312 (February 1990)
  8. Standard surface-reflectance model and illuminant estimation
    Shoji Tominaga, Brian A. Wandell, JOSA A , Vol. 6 Issue 4 Page 576 (April 1989)

CMOS Camera Research

  1. Integrated color pixels in 0.18-um complementary metal oxide semiconductor technology
    P. Catrysse and B. Wandell (in press, 2003), Vol. 20, No. 12, December 2003. JOSA A
  2. Color Estimation Error Trade-offs
    U. Barnhofer, J. DiCarlo, Ben Olding and B. Wandell (2003). In Proceedings of the SPIE Electronic Imaging '2003 Conference, Vol. 5017, Santa Clara, CA, January 2003 , San Jose
  3. Optical efficiency of image sensor pixels
    P. B. Catrysse and B. A. Wandell (2002). JOSA A , Vol. 19, No. 8, pp. 1610-1620
  4. Experimental high speed cmos image sensor system and applications
    Ali Ozer Ercan, Feng Xiao, Xinqiao Liu, Suk Hwan Lim, Abbas El Gamal and Brian Wandell (2002).
    IEEE Sensors.
  5. Image analysis using modulated light sources
    F. Xiao, J. M. DiCarlo, P. B. Catrysse and B. A. Wandell (2001). Proceedings of the SPIE , Image Sensors. Vol. 4306, pgs. 22-30, San Jose, CA January 2001
  6. How Small Should Pixel Size Be?
    Chen, Catrysse, El Gamal, Wandell, (2000). Proceedings of the SPIE , Image Sensors. Vol 3965, San Jose, CA January 2000
  7. Rendering high dynamic range images
    J. M. DiCarlo and B. A. Wandell, (2000). Proceedings of the SPIE , Image Sensors. Vol 3965, pgs. 392-401, San Jose, CA January 2000
  8. Multiple Capture Single Image with a CMOS Sensor
    Wandell, Catrysse, DiCarlo, Yang, El Gamal (1999). Chiba Conference on Multspectral Imaging , pgs. 11-17.
  9. Comparative analysis of color architectures for image sensors
    Catrysse, Wandell, and El Gamal, (1999) SPIE, Vol 3650, San Jose, CA

Appearance and discrimination metrics

  1. Preferred Color Spaces for White Balancing
    F. Xiao, J. Farrell, J. DiCarlo and B. Wandell (2003). In Proceedings of the SPIE Electronic Imaging '2003 Conference, Vol. 5017, Santa Clara, CA, January 2003 , San Jose
  2. High Dynamic Range Imaging of Natural Scenes
    F. Xiao, J. DiCarlo, P. Catrysse and B. Wandell In Tenth Color Imaging Conference: Color Science, Systems, and Applications, 2002. Scottsdale, AZ.
  3. Color Spaces and Metrics
    K-H. Bauml, X. Zhang, and B. Wandell (2001). In Vision Models and Applications to Image and Video Processing . Edited by C. J. van den Branden Lambrecht, Kluwer Academic Publishers.
  4. Color Appearance and the Digital Imaging Pipeline
    Wandell (2000). International Conference on Pattern Recognition. Barcelona, Spain.
  5. Color Image Fidelity Metrics Evaluated Using Image Distortion Maps
    Zhang and Wandell (1998). Signal Processing , vol. 70, no 3 p. 201-214.
  6. Image Distortion Maps
    Zhang, Setiawan and Wandell, (1997) Proceedings of the Fifth Color Imaging Conference , IS&T, Scottsdale, Arizona.
  7. Applications of a spatial extension to CIELAB
    Zhang, Farrell and Wandell (1997), SPIE
  8. Color image quality metric S-CIELAB and its application to halftone texture visibility
    Zhang, Silverstein, Farrell and Wandell (1997) IEEE Compcon 97 .
  9. A spatial extension of CIELAB for digital color reproduction
    Zhang and Wandell (1996), Society for Information Display
  10. Color appearance in images: Measurements and Musings
    Wandell and Chichilnisky, (1994) Proceedings of the Second Color Imaging Conference , IS&T, Scottsdale, Arizona.
  11. Water into Wine: Converting Scanner RGB to Tristimulus XYZ.
    Wandell and Farrell (1993) Proceedings of the SPIE, San Jose
  12. Surface characterizations of color thresholds
    Allen B. Poirson, Brian A. Wandell, Denise C. Varner, David H. Brainard, JOSA A , Vol. 7 Issue 4 Page 783 (April 1990)
  13. Task-dependent color discrimination
    Allen B. Poirson, Brian A. Wandell, JOSA A , Vol. 7 Issue 4 Page 776 (April 1990)
  14. Discrete analysis of spatial-sensitivity models
    Kenneth R. K. Nielsen, Brian A. Wandell, JOSA A , Vol. 5 Issue 5 Page 743 (May 1988)
  15. Color measurement and discrimination
    Brian A. Wandell, JOSA A , Vol. 2 Issue 1 Page 62 (January 1985)

S-CIELAB software

Image Systems Engineering Organization

Reading and development

Diffusion Tensor Imaging

  1. Children's Reading Performance is Correlated with White Matter Structure Measured by Diffusion Tensor Imaging
    Gayle K. Deutsch, Robert F. Dougherty, Roland Bammer, Wai Ting Siok, John D.E. Gabrieli, Brian Wandell (in press). Cortex.

Kalanit Grill-Spector References

Papers Published or In Press in Refereed Journal
The neural basis of object perception Kalanit Grill-Spector. Current Opinion in Neurobiology. 13:1-8, 2003.

Semantic versus perceptual priming in fusiform cortex. Kalanit Grill-Spector. Trends Cogn Sci. 5(6):227-228, 2001.

The lateral occipital complex and its role in object recognition. Kalanit Grill-Spector, Zoe Kourtzi and Nancy Kanwisher. Vision Research, 41,1409-1422, 2001

fMR-Adaptation: a tool for studying the functional properties of human cortical neurons Kalanit Grill-Spector and Rafael Malach. Acta Psychologica 107, 293-321, 2001 .(Special issue on cognitive neuroscience).

The dynamics of object-selective activation correlate with recognition performance in humans Kalanit Grill-Spector, Tammar Kushnir, Talma Hendler, and Rafael Malach. Nature Neuroscience, 3(8):837-43, 2000.

Differential processing of objects under various viewing conditions in the human lateral occipital complex Kalanit Grill-Spector, Tammar Kushnir, Shimon Edelman, Galia Avidan, Y. Itzchak, and Rafael Malach. Neuron, 24(1):187-20,1999.

A sequence of object-processing stages revealed by fMRI in the human occipital lobe. Kalanit Grill-Spector, Tammar Kushnir, Talma Hendler, Shimon Edelman, Yaacov Itzchak and Rafael Malach. Human Brain Mapping, 6(4), pages 316-328, 1998.

Cue invariant activation in object-related areas of the Human occipital lobe. K. Grill-Spector, T. Kushnir, S. Edelman, Y. Itzchak and R. Malach. Neuron, 21(1) pages 191-202, 1998.

Towards direct visualization of the internal shape space by fMRI. Shimon Edelman, Kalanit Grill-Spector, Tammar Kushnir, and Rafael Malach. Psychobiology (special issue on Cognitive Neuroscience of Object Representation and Recognition), 26, 309-321, 1998.

Anatomical Origin and computational role of diversity in the response properties of cortical neurons. Kalanit Grill Spector Shimon Edelman and Rafael Malach, Proc. 1994 Conf. on Neural Information Processing Systems (NIPS-7), G. Tesauro, D. Touretzky, J. Alspector, eds., Morgan Kauffman, 1995.

 

Refereed Book Chapters
The functional organization of the ventral visual pathway and its relationship to object recognition. Kalanit Grill-Spector , In Attention and Performance XX: Functional Brain Imaging of Visual Cognition, Editors: Nancy Kanwisher and John Duncan, Oxford University Press, London, England. 2003.
Occipital Lobe, Kalanit Grill-Spector. in the Encylopedia of Neurological Sciences, Editords Aminoff, M. Daroff, R., Academic Press, 2003

Anatomical origin and computational role of diversity in the response properties of cortical neurons. K. Grill-Spector, S. Edelman, and R. Malach, in Brain Theory - Biological basis and computational principles, A. Aertsen and V. Braitenberg eds., Elsevier, 1996.

back to top

 

Home | People | Research Projects| Publications | Lab manual|Software | Directions


Stanford Vision, Imaging Science and Technology Laboratory
Department of Psychology, Jordan Hall, Building 420
Stanford University, Stanford, CA 94305-2130

Send email to : vista@white.stanford.edu
Copyright © 2003. All Rights Reserved