Abstract
Understanding of human perception of textured materials is one of the most difficult tasks of computer vision. In this paper we designed a strictly controlled psychophysical experiment with stimuli featuring different combinations of shape, illumination directions and surface texture. Appearance of five tested materials was represented by measured view and illumination dependent Bidirectional Texture Functions. Twelve subjects participated in visual search task - to find which of four identical three dimensional objects had its texture modified. We investigated the effect of shape and texture on subjects’ attention. We are not looking at low level salience, as the task is to make a high level quality judgment. Our results revealed several interesting aspects of human perception of different textured materials and, surface shapes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dana, K., van Ginneken, B., Nayar, S., Koenderink, J.: Reflectance and texture of real-world surfaces. ACM Transactions on Graphics 18(1), 1–34 (1999)
Filip, J., Haindl, M.: Bidirectional texture function modeling: A state of the art survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(11), 1921–1940 (2009)
Ho, Y., Landy, M., Maloney, L.: Conjoint measurement of gloss and surface texture. Psychological Science 19(2), 196–204 (2008)
Lawson, R., Bülthoff, H., Dumbell, S.: Interactions between view changes and shape changes in picture - picture matching. Perception 34(12), 1465–1498 (2003)
Ostrovsky, Y., Cavanagh, P., Sinha, P.: Perceiving illumination inconsistences in scenes. Perception 34, 1301–1314 (2005)
Fleming, R.W., Dror, R.O., Adelson, E.H.: Real-world illumination and the perception of surface reflectance properties. Jorunal of Vision (3), 347–368 (2003)
Fleming, R.W., Torralba, A., Adelson, E.H.: Specular reflections and the perception of shape. Journal of Vision 4(9) (2004)
Vangorp, P., Laurijssen, J., Dutre, P.: The influence of shape on the perception of material reflectance 26(3) (2007)
Ramanarayanan, G., Ferwerda, J., Walter, B., Bala, K.: Visual equivalence: Towards a new standard for image fidelity, 26(3) (2007)
Křivánek, J., Ferwerda, J.A., Bala, K.: Effects of global illumination approximations on material appearance. ACM Trans. Graph. 29, 112:1–112:10 (2010)
Todd, J., Thaler, L.: The perception of 3d shape from texture based on directional width gradients. Journal of Vision 10(5), 17 (2010)
Duchowski, A.T.: A breadth-first survey of eye-tracking applications. Behav. Res. Methods Instrum. Comput. 34(4), 455–470 (2002)
Over, E., Hooge, I., Vlaskamp, B., Erkelens, C.: Coarse-to-fine eye movement strategy in visual search. Vision Research 47(17), 2272–2280 (2007)
Nielsen, J., Pernice, K.: Eyetracking Web Usability. Voices That Matter. New Riders (2009)
Deng, Z., Lewis, J.P., Neumann, U.: Automated eye motion using texture synthesis. IEEE Computer Graphics and Applications 25(2), 24–30 (2005)
Sundstedt, V., Stavrakis, E., Wimmer, M., Reinhard, E.: A psychophysical study of fixation behavior in a computer game. In: APGV 2008, pp. 43–50. ACM (2008)
Elhelw, M.A., Nicolaou, M., Chung, J.A., Yang, G.Z., Atkins, M.S.: A gaze-based study for investigating the perception of visual realism in simulated scenes. ACM Transactions on Applied Perception 5(1) (2008)
Filip, J., Chantler, M., Haindl, M.: On uniform resampling and gaze analysis of bidirectional texture functions. ACM Transactions on Applied Perception 6(3), 15 (2009)
Filip, J., Haindl, M., Chantler, M.: Gaze-motivated compression of illumination and view dependent textures. In: Proceedings of the 20th International Conference on Pattern Recognition (ICPR), pp. 862–864 (August 2010)
Leek, E.C., Reppa, I., Rodriguez, E., Arguin, M.: Surface but not volumetric part structure mediates three-dimensional shape representation: Evidence from part-whole priming. The Quarterly Journal of Experimental Psychology 62(4), 814–830 (2009)
Filip, J., Vácha, P., Haindl, M., Green, P.R.: A Psychophysical Evaluation of Texture Degradation Descriptors. In: Hancock, E.R., Wilson, R.C., Windeatt, T., Ulusoy, I., Escolano, F. (eds.) SSPR & SPR 2010. LNCS, vol. 6218, pp. 423–433. Springer, Heidelberg (2010)
Tatler, B.W.: The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions. Journal of Vision 7(14), 1–17 (2007)
Database BTF, Bonn (2003), http://btf.cs.uni-bonn.de
Su, S., Durand, F., Agrawala, M.: De-emphasis of distracting image regions using texture power maps. In: APGV 2005: 2nd Symposium on Applied Perception in Graphics and Visualization (2005)
Mackworth, N., Morandi, A.: The gaze selects informative details within pictures. Attention, Perception, & Psychophysics 2, 547–552 (1967) 10.3758/BF03210264
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Filip, J., Vácha, P., Haindl, M. (2012). Analysis of Human Gaze Interactions with Texture and Shape. In: Salerno, E., Çetin, A.E., Salvetti, O. (eds) Computational Intelligence for Multimedia Understanding. MUSCLE 2011. Lecture Notes in Computer Science, vol 7252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32436-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-32436-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32435-2
Online ISBN: 978-3-642-32436-9
eBook Packages: Computer ScienceComputer Science (R0)