@inproceedings{4cac6cf1cb934e5e8a866f97c7ae29cb,
title = "Invariant multi-scale shape descriptor for object matching and recognition",
abstract = "We propose a novel multi-scale shape descriptor for shape matching and object recognition. The descriptor includes three types of invariants in multiple scales to capture discriminative local and semi-global shape features and the dynamic programming algorithm is employed for shape matching. The experimental results verify that our proposed shape feature is invariant to translation, rotation, scaling, and can well tolerate partial occlusion, articulated variation and intra-class variations. The shape matching and retrieval results on benchmark datasets validate the effectiveness of our method. This method is also applied to real time hand gesture recognition and achieves competitive result compared with state of the arts.",
keywords = "Hand Gesture, Invariant Descriptor, Object Recognition, Shape Matching",
author = "Haoran Xu and Jianyu Yang and Junsong Yuan",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/ICIP.2016.7532436",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "644--648",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
address = "United States",
}