Selective Search for Object Recognition

This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Like exhaustiv...

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Bibliographic Details
Published in:	International journal of computer vision Vol. 104; no. 2; pp. 154 - 171
Main Authors:	Uijlings, J. R. R., van de Sande, K. E. A., Gevers, T., Smeulders, A. W. M.
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.09.2013 Springer Springer Nature B.V
Subjects:	Applied sciences Artificial Intelligence Computer Imaging Computer programs Computer Science Computer science; control theory; systems Datasets Exact sciences and technology Image Processing and Computer Vision Image processing systems Information management Localization Object recognition Pattern Recognition Pattern Recognition and Graphics Pattern recognition. Digital image processing. Computational geometry Recall Sampling Search engines Searching Segmentation Software Studies Vision United States > US Object Recognition Colour Space Object Location Exhaustive Search Appearance Model Computer vision Bag of words Segmentation Information retrieval Data driven modelling Pattern recognition Sampling Overlay Object recognition Artificial intelligence Modeling Object location
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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