@inproceedings{097ba285af6c43f5aac945a0ede65708,
title = "HSOG: A novel local descriptor based on histograms of second order gradients for object categorization",
abstract = "This paper presents a novel local image descriptor for object categorization that extracts the Histograms of the Second Order Gradients and is thereby named as HSOG. The HSOG descriptor is in contrast to the widely used ones in the literature, e.g. SIFT, DAISY, HOG, LBP, etc., which are based on the first order gradient information. The contributions of this work can be summarized as: (1) the design of HSOG; (2) the prove of its discriminative power and its complementation to the first order gradient based descriptors; (3) the analysis of performance variation caused by different parameter settings; and (4) the multi-scale extension which further improves the categorization accuracy. The experimental results achieved on the Caltech 101 and Caltech 256 databases clearly highlight the effectiveness of the proposed approach.",
keywords = "feature extraction, local descriptor, object categorization",
author = "Di Huang and Chao Zhu and Bichot, \{Charles Edmond\} and Yunhong Wang and Liming Chen",
year = "2013",
month = apr,
day = "16",
doi = "10.1145/2461466.2461500",
language = "英语",
isbn = "9781450320337",
series = "ICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval",
publisher = "Association for Computing Machinery ",
pages = "199--206",
booktitle = "ICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval",
address = "美国",
note = "3rd ACM International Conference on Multimedia Retrieval, ICMR 2013 ; Conference date: 16-04-2013 Through 20-04-2013",
}