Recurrent Computations for the Perceptual Organization of Shape
Supported by: NSERC Discovery Program
Imagine a visual world of random blotches of colour and texture, like an abstract painting. This is a world without shape, and it illustrates how our capacity to see structure and recognize objects is determined by our ability to perceive shape.
In this project we employ a novel combination of psychophysical and computational methods to determine how the human brain extracts and represents 2D and 3D shape information from contours in complex imagery, and develop improved computer vision algorithms for object segmentation and shape processing based upon these insights.
To find out more:
- 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.
- Elder, J.H. (2015). 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.
- 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 31, 1-13. (Editor’s Choice Paper)
- Movahedi, V. & Elder, J.H. (2013) Combining local and global cues for closed contour extraction. In Burghardt, D. Damen, W. Mayol-Cuevas, and M. Mirmehdi, editors, Proceedings of the British Machine Vision Conference, BMVA Press, 128.1-128.11
- 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, London, UK.