Object Perception

Lecture Series 1: Perception as inference

1.1 The tasks of vision: What, where, and more
1.2 Vision as statistical inference
1.3 Ideal observer analysis of human vision

Readings: Kersten, D., Mamassian, P., & Yuille, A. (2004). Object perception as Bayesian Inference. Annual Review of Psychology, 55, 271-304. (pdf)

Lecture Series 2: Perceiving object properties

2.1 "Built-in" knowledge of generative structure
2.2 Perceptual discounting & cue integration
2.3 Perceptual "explaining away"

Readings: Bloj, M., Kersten, D., & Hurlbert, A. C. (1999). 3D Shape Perception Influences Colour Perception via Mutual Illumination. Nature. (pdf)

Lecture Series 3. Object recognition

3.1 Categorization
3.2 Clutter, segmentation and identification

Readings: Brady, M. J., & Kersten, D. (2003). Bootstrapped learning of novel objects. J Vis, 3(6), 413-422.(pdf)

Liu, Z. and Kersten, D. (1998) 2D Observers in 3D Object Recognition? Vision Research., 38, 2507-2519. (pdf)

Special Lecture, June 7, 2006: "Natural Images, Natural Percepts and Primary Visual Cortex"

Readings: Murray, S. O., Boyaci, H., & Kersten, D. (2006). The representation of perceived angular size in human primary visual cortex. Nature Neuroscience. Online: 05 February 2006 (pdf)

Murray, S. O., Kersten, D., Olshausen, B. A., Schrater, P., & Woods, D. L. (2002). Shape perception reduces activity in human primary visual cortex. Proc Natl Acad Sci U S A, 99, 15164-15169. (pdf)