We present an approach to the recognition of complex-shaped objects in cluttered environments based on edge cues. We first use example images of the desired object in typical backgrounds to train a classifier cascade which determines whether edge pixels in an image belong to an instance of the object or the clutter. Presented with a novel image, we use the cascade to discard clutter edge pixels. The features used for this classification are localized, sparse edge density operations. Experiments validate the effectiveness of the technique for recognition of complex objects in cluttered indoor scenes under arbitrary out-of-image-plane rotation.
Shape-based recognition of wiry objects
2003-01-01
721648 byte
Conference paper
Electronic Resource
English
Shape-Based Recognition of Wiry Objects
British Library Conference Proceedings | 2003
|Recognition of Planar Objects Using the Density of Affine Shape
British Library Online Contents | 1999
|British Library Conference Proceedings | 2004
|Modeling real objects for Kansei-based shape retrieval
British Library Online Contents | 2007
|