Effects of motion and configural complexity on color transparency perception

Visual Neuroscience

Volumn 23, Issue 3-4, 2006, Pages 591-596

  Gerardin, Peggy ^a,d   Roud, Philippe ^a   Süsstrunk, Sabine ^a   Knoblauch, Kenneth ^b,c  

^a EPFL   (Switzerland)

^b INSERM   (France)

^c UNIVERSITÉ LYON 1   (France)

^d UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Color vision; Configural complexity; Motion; Psychophysics; Transparency perception

Indexed keywords

BINOCULAR CONVERGENCE; COLOR VISION; CONFERENCE PAPER; EXPERIMENTAL MODEL; MODULATION; MOTION; PRIORITY JOURNAL; ROTATION; VISUAL STIMULATION; VISUAL SYSTEM PARAMETERS; ARTICLE; COLOR VISION TEST; COMPARATIVE STUDY; FEMALE; HUMAN; MALE; METHODOLOGY; MOVEMENT PERCEPTION; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY;

COLOR PERCEPTION; COLOR PERCEPTION TESTS; FEMALE; HUMANS; MALE; MOTION; MOTION PERCEPTION; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION;

EID: 33750099620     PISSN: 09525238     EISSN: 14698714     Source Type: Journal    
DOI: 10.1017/S0952523806233352     Document Type: Conference Paper

References (21)

1. ADELSON, E.H. & MOVSHON, J.A. (1982). Phenomenal coherence of moving visual patterns. Nature 300, 523-525.
2. AKAIKE, H. (1973). Information theory and an extension of the maximum likelihood principle. In Second International Symposium on Inference Theory, PETROV, B.N. & CSÀKI, F., eds., pp. 267-281. Budapest: Akadémia Kiadó.
3. ANDERSON, B.L. (1997). A theory of illusory lightness and transparency in monocular and binocular images: the role of contour junctions. Perception 26, 419-453.
4. BISHOP, Y.M.M., FIENBERG, S.E. & HOLLAND, P.W. (1975). Discrete Multivariate Analysis: Theory and Practice. Cambridge: MIT Press.
5. CHEN, V. & D'ZMURA, M. (1998). Test of a convergence model for color transparency. Perception 27, 595-608.
6. DOJAT, M., PIETTRE, L., DELON-MARTIN, C., PACHOT-CLOUARD, M., SEGEBARTH, C. & KNOBLAUCH, K. (2006). Global integration of local color differences in transparency perception: An fMRI study. Visual Neuroscience 23, 357-364.
7. D'ZMURA, M., COLANTONI, P., KNOBLAUCH, K. & LAGET, B. (1997). Color transparency. Perception 26, 471-492.
8. D'ZMURA, M., RINNER, O. & GEGENFURTNER, K.R. (2000). The colors seen behind transparent filters. Perception 29, 911-926.
9. FAUL, F. & EKROLL, V. (2002). Psychophysical model of chromatic perceptual transparency based on subtractive color mixture. Journal of the Optical Society of America A 19, 1084-1095.
10. HAGEDORN, J. & D'ZMURA, M. (2000). Color appearance of surfaces viewed through fog. Perception 29, 1169-1184.
11. KHANG, B.G. & ZAIDI, Q. (2002). Cues and strategies for color constancy: perceptual scission, image junctions and transformational color matching. Vision Research 42, 211-226.
12. KHANG, B.G. & ZAIDI, Q. (2004). Illuminant color perception of spectrally filtered spotlights. Journal of Vision 4, 680- 692, http://journalofvision.org/4/9/2/.
13. KNOBLAUCH, K. & DOJAT, M. (2003). Transparence, constance et apparence des couleurs. Pour La Science. Dossier Hors Séries 2, 16-19.
14. KNOKE, D. & BURKE, P. (1980). Log-Linear Models, vol. 20, Twin Cities, MN: Sage Publications.
15. KOFFKA, K. (1935). Principles of Gestalt Psychology. New York: Harcourt, Brace and Company.
16. R DEVELOPMENT CORE TEAM. (2004). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-00-3, URL http://www.R-project.org.
17. RIPAMONTI, C. & WESTLAND, S. (2003). Prediction of transparency perception based on cone-excitation ratios. Journal of the Optical Society of America A 20, 1673-1680.
18. RIPAMONTI, C., WESTLAND, S. & DA POS, O. (2004). Conditions for perceptual transparency. Journal of Electronic Imaging 13, 29-35.
19. ROBILOTTO, R. & ZAIDI, Q. (2004). Perceived transparency of neutral density filters across dissimilar backgrounds. Journal of Vision 4, 183-195.
20. VENABLES, W.N. & RIPLEY, B.D. (2002). Modern Applied Statistics with S (4th edition). New York: Springer.
21. WESTLAND, S. & RIPAMONTI, C. (2000). Invariant cone-excitation ratios may predict transparency. Journal of the Optical Society of America A 17, 255-264.