Drewes, J., Goren, G., Zhu, W. & Elder, J.H. (2016) Recurrent processing in the formation of shape percepts. J. Neuroscience vol. 36, no. 1, 185-192.
Corral-Soto, E.R. & Elder, J.H. (2014) Automatic single-view calibration and rectification from parallel planar curves, Proceedings of the European Conference on Computer Vision, In Press.
Elder, J.H. (2014). Bridging the dimensional gap: Perceptual organization of contour into two-dimensional shape. In J. Wagemans, ed., Oxford Handbook of Perceptual Organization, Oxford University Press, Oxford UK. In press.
Yakubovich, A. & Elder, J.H. (2014) Building better formlet codes for planar shape, Proceedings of the Conference on Computer and Robot Vision, In Press.
Adams, W.J. & Elder, J.H. (2014). Effects of specular highlights on perceived surface convexity. PLOS Computational Biology 10(5): e1003576. doi:10.1371/journal.pcbi.1003576. (Published May 8, 2014).
T. McLeod, C. Samson, M. Labrie, K. Shehata, J. Mah, P. Lai, L. Wang, and J.H. Elder. (2013) Using video data acquired from an unmanned aerial vehicle to measure fracture orientation in an open pit mine. Geomatica vol. 67, No. 3, 173-180.
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
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)
- The Centre for Information Visualization and Data-Driven Design (CIVDDD)
- The Ministry of Transportation Ontario (MTO)