Publications for author T. N. Mundhenk (excluding plenary and invited talks)

T. N. Mundhenk, W. Einhaeuser, L. Itti, Automatic Computation of an Image's Statistical Surprise Predicts Performance of Human Observers on a Natural Image Detection Task, Vision Research, Vol. 49, No. 13, pp. 1620-1637, Jun 2009. [2007 impact factor: 2.055] (Cited by 17)

T. N. Mundhenk, W. Einhaeuser, L. Itti, What the Searchlight saw: revealing the extent of natural image information that passes through bottom-up visual attention mechanisms to higher visual processing, In: Proc. Vision Science Society Annual Meeting (VSS09), May 2009.

T. N. Mundhenk, W. Einhaeuser, L. Itti, Natural Image RSVP task performance is predicted by measurements of bottom-up Bayesian Surprise exhibited by image sequences, In: Proc. Vision Science Society Annual Meeting (VSS08), May 2008. (Cited by 17)

W. Einhaeuser, T. N. Mundhenk, P. F. Baldi, C. Koch, L. Itti, A bottom-up model of spatial attention predicts human error patterns in rapid scene recognition, Journal of Vision, Vol. 7, No. 10, pp. 1-13, Jul 2007. [2005 impact factor: 3.469] (Cited by 57)

T. N. Mundhenk, J. Everist, C. Landauer, L. Itti, K. Bellman, Distributed biologically-based real-time tracking in the absence of prior target information, In: Proc. SPIE International Conference on Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision, (D. P. Casasent, E. L. Hall, J. Roning Ed.), Vol. 6006, pp. 142-153, Bellingham, WA:SPIE Press, Oct 2005. (Cited by 10)

T. N. Mundhenk, L. Itti, Computational modeling and exploration of contour integration for visual saliency, Biological Cybernetics, Vol. 93, No. 3, pp. 188-212, Sep 2005. [2003 impact factor: 1.933] (Cited by 46)

M. A. Arbib, T. N. Mundhenk, Schizophrenia and the mirror system: an essay, Neuropsychologia, Vol. 43, No. 2, pp. 268-280, Feb 2005. [2003 impact factor: 2.695] (Cited by 40)

T. N. Mundhenk, C. Landauer, K. Bellman, M. A. Arbib, L. Itti, Teaching the computer subjective notions of feature connectedness in a visual scene for real time vision, In: Proc. SPIE Conference on Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (D. P. Casasent, E. L. Hall, J. Roning Ed.), Vol. 5608, pp. 136-147, Bellingham, WA:SPIE Press, Oct 2004. (Cited by 3)

P. Natarajan, T. N. Mundhenk, K. Bellman, L. Itti, M. A. Arbib, Camera localization methods for intelligent room systems using RF techniques, In: Proc. SPIE International Conference on Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (D. P. Casasent, E. L. Hall, J. Roning Ed.), Vol. 5608, pp. 177-187, Bellingham, WA:SPIE Press, Oct 2004. (Cited by 5)

T. N. Mundhenk, V. Navalpakkam, H. Makaliwe, S. Vasudevan, L. Itti, Biologically inspired feature based categorization of objects, In: Proc. SPIE Human Vision and Electronic Imaging IX (HVEI04), San Jose, CA, (B. Rogowitz, T. N. Pappas Ed.), Vol. 5292, Bellingham, WA:SPIE Press, Jan 2004. (Cited by 7)

R. J. Peters, T. N. Mundhenk, L. Itti, C. Koch, Contour-facilitation in a model of bottom-up attention, In: Proc. Society for Neuroscience Annual Meeting (SFN'03), Nov 2003. (Cited by 2)

T. N. Mundhenk, C. Ackerman, D. Chung, N. Dhavale, B. Hudson, R. Hirata, E. Pichon, Z. Shi, A. Tsui, L. Itti, Low-cost high-performance mobile robot design utilizing off-the-shelf parts and the Beowulf concept: the Beobot project, In: Proc. SPIE Conference on Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, pp. 293-303, Bellingham, WA:SPIE Press, Oct 2003. (Cited by 11)

T. N. Mundhenk, N. Dhavale, S. Marmol, E. Calleja, V. Navalpakkam, K. Bellman, C. Landauer, M. A. Arbib, L. Itti, Utilization and viability of biologically-inspired algorithms in a dynamic multi-agent camera surveillance system, In: Proc. SPIE Conference on Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, pp. 281-292, Bellingham, WA:SPIE Press, Oct 2003. (Cited by 5)

T. N. Mundhenk, L. Itti, CINNIC, a new computational algorithm for the modeling of early visual contour integration in humans, Neurocomputing, Vol. 52-54, pp. 599-604, Jun 2003. [2001 impact factor: 0.534] (Cited by 10)

T. N. Mundhenk, L. Itti, A Model of Contour Integration in Early Visual Cortex, In: Lecture Notes in Computer Science, Vol. 2525, pp. 80-89, Nov 2002. (Cited by 13)

D. Chung, R. Hirata, T. N. Mundhenk, J. Ng, R. J. Peters, E. Pichon, A. Tsui, T. Ventrice, D. Walther, P. Williams, L. Itti, A New Robotics Platform for Neuromorphic Vision: Beobots, In: Lecture Notes in Computer Science, Vol. 2525, pp. 558-566, Nov 2002. (Cited by 23)

J. Ng, R. Hirata, T. N. Mundhenk, E. Pichon, A. Tsui, T. Ventrice, P. Williams, L. Itti, Towards Visually-Guided Neuromorphic Robots: Beobots, In: Proc. 9th Joint Symposium on Neural Computation (JSNC'02), Pasadena, California, May 2002. (Cited by 3)

T. N. Mundhenk, L. Itti, Towards a simpler model of contour integration in early visual processing using a composite of methods, In: Proc. 9th Joint Symposium on Neural Computation (JSNC'02), Pasadena, California, May 2002. (Cited by 13)