-- Movahedi, V. & Elder, J.H. (2013) Combining local and global cues for closed contour extraction, in Proc. British Machine Vision Conference.
-- Elder, J.H., Oleskiw, T.D., Yakubovich, A. & Peyré, G. (2013). On growth and formlets: Sparse multi-scale coding of planar shape.   Image and Vision Computing, vol. 31, 1-13. (Editor's Choice Paper)
-- Elder, J.H. (2013). Perceptual organization of shape. In S. Dickinson & Z. Pizlo, ed.,   Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective, Springer
-- Tal, R. & Elder, J.H. (2012) An accurate method for line detection and Manhattan frame estimation, Proc. ACCV Workshop on Intelligent Mobile Vision, Daejeon, Korea
-- Corral-Soto, E.R., Tal, R., Wang, L., Persad, R., Chao, L. Solomon, C., Hou, Y., Sohn G., Elder, J.H. (2012)  3DTown: The Automatic Urban Awareness Project, Proc. Canadian Conference on Computer and Robot Vision
-- Wagemans, J.H., Elder, J.H., Kubovy, M., Palmer, S., Peterson, M., Singh, M. & von der Heydt, R. (2012). A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization.  Psychological Bulletin, In Press (Accepted for publication May 2012).
-- Dornaika, F. & Elder, J.H. (2012) Image registration for foveated panoramic sensing. ACM Transactions on Multimedia Computing, Communications and Applications, vol. 8, no. 2. Published May 2012.
-- Morgenstern, Y. & Elder, J.H. (2012)   Local visual energy mechanisms revealed by detection of global patterns,   Journal of Neuroscience
Introduction to the Elder Laboratory
Our laboratory conducts research in human and computer vision. This research involves psychophysical experiments on human subjects, mathematical analysis of problem constraints, and development of computational models and algorithms.
The Elder laboratory is part of the York University Centre for Vision Research. Students in the laboratory are typically registered in Computer Science, Psychology or Mathematics Departments.
Our goals are to develop better theories of visual processing, as well as practical knowledge and algorithms that may be applied to problems in visual surveillance, remote learning and geomatics applications. We collaborate with a number of companies and government organizations on this applied research.
The laboratory is funded by grants and contracts from:
- The Natural Sciences and Engineering Research Council (NSERC)
- Ontario Centres of Excellence: Earth and Environmental Technologies (OCE)
- Geomatics for Informed Decisions (GEOIDE)
Links to Partners