Visual Cortex Models for Object Recognition
Visual cortex model-based methods aim to develop algorithms for object detection, representation and recognition that attempt to mimic human visual systems.
Object recognition is difficult Like other natural tasks that our brain performs effortlessly, visual recognition has turned out to be difficult to reproduce in artificial systems. In its general form, it is a highly challenging computational problem which is likely to play a significant role in eventually making intelligent machines. Not surprisingly, it is also an open and key problem for neuroscience.
Within object recognition, it is common to distinguish two main tasks: identification, for instance, recognizing a specific face among other faces, and categorization, for example, recognizing a car among other object classes. We will discuss both of these tasks below, and use “recognition” to include both.
Models of the visual cortexOver the last...
- 2.Bruce C, Desimone R, Gross C (1981) Visual properties of neurons in a polysensory area in the superior temporal sulcus of the macaque. J Neurophysiol 46:369–384Google Scholar
- 4.Chikkerur S, Serre T, Poggio T (2009) A Bayesian inference theory of attention: neuroscience and algorithms, MIT-CSAIL-TR-2009-047/CBCL-280. Massachusetts Institute of Technology, CambridgeGoogle Scholar
- 7.Hawkins J, Blakeslee S (2004) On intelligence. Times Books, New YorkGoogle Scholar
- 14.Marr D (1982) Vision: a computational investigation into the human representation and visual information. W.H. Freeman, New YorkGoogle Scholar
- 16.. Mutch J, Lowe D (2006) Multiclass object recognition using sparse, localized features. In: Proceedings of the IEEE conference on computer vision pattern recognition (CVPR), New YorkGoogle Scholar
- 22.. Thorpe S (2002) Ultra-rapid scene categorisation with a wave of spikes. In: Second international workshop on biologically motivated computer vision (BMCV), Tübingen, pp 1–15Google Scholar
- 25.Zemel RS, Behrmann M, Mozer MC, Bavelier D (2002) Object recognition processes can and do operate before figure-ground organization. Exp Psychol 28(1):202–217Google Scholar
- 26.Zhang J, Zisserman A (2006) Dataset issues in object recognition. In: Ponce J, Hebert M, Schmid C, Zisserman A (eds) Toward category-level object recognition. Springer, Berlin, pp 29–48Google Scholar
- 27.Zhou H, Howard S, Friedman HS, von der Heydt R (2000) Coding of border ownership in monkey visual cortex. J Neurosci 20(17):6594–6611Google Scholar