We consider object detection using a generic model for natural shapes. A common approach for object recognition involves matching object models directly to images. Another approach involves building intermediate representations via a generic grouping processes. We argue that these two processes (model-based recognition and grouping) may use similar computational mechanisms. By defining a generic model for shapes we can use model-based techniques to implement a mid-level vision grouping process.
CITATION STYLE
Rodríguez-Sánchez, A. J., Dudek, G. L., & Tsotsos, J. K. (2013). Shape Perception in Human and Computer Vision - An Interdisciplinary perspective. Shape Perception in Human and Computer Vision (pp. 429–442). Retrieved from http://link.springer.com/10.1007/978-1-4471-5195-1
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