@inproceedings{910a0a3c5c8248d9b15a045a0da6fab1,
title = "Reliable image matching using binarized gradient features obtained with multi-flash camera",
abstract = "In this paper, we propose an object detection method using features describing information about a concavoconvex shape of an object that are obtained by using a small camera that controls the illumination direction. A feature image containing information about the shape of the object is generated by integrating images obtained by turning on, one by one, light emitting diodes (LEDs) annularly arranged around the camera. Our method can reliably detect a texture-less object by using this feature image in the matching process. Experiments using 200 actual images confirmed that the method achieves a 97.5% recognition success rate and a 4.62 sec processing time.",
keywords = "Binarized gradient features, Binary code, Image matching, Object detection, Texture-less",
author = "Yasunori Sakuramoto and Yuichi Kanematsu and Shuichi Akizuki and Manabu Hashimoto and Kiyotaka Watanabe and Makito Seki",
year = "2015",
doi = "10.5220/0005267902600264",
language = "English",
series = "VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings",
publisher = "SciTePress",
pages = "260--264",
editor = "Jose Braz and Sebastiano Battiato and Francisco Imai",
booktitle = "VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings",
note = "10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 ; Conference date: 11-03-2015 Through 14-03-2015",
}