ML Anthology

The Gixel Array Descriptor (GAD) for Multimodal Image Matching

Guan Pang, Ulrich Neumann
WACV 2013 pp. 497-504
doi:10.1109/WACV.2013.6475060 /wacv/2013/pang2013wacv-gixel/

Abstract

Feature description and matching is a fundamental problem for many computer vision applications. However, most existing descriptors only work well on images of a single modality with similar texture. This paper presents a novel basic descriptor unit called a Gixel, which uses an additive scoring method to sample surrounding edge information. Several Gixels in a circular array create a powerful descriptor called the Gixel Array Descriptor (GAD), excelling in multi-modal image matching, especially when one of the images is edge-dominant with little texture. Experiments demonstrate the superiority of GAD on multi-modal matching, while maintaining a performance comparable to several state-of-the-art descriptors on single modality matching.

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Cite

Text

Pang and Neumann. "The Gixel Array Descriptor (GAD) for Multimodal Image Matching." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013. doi:10.1109/WACV.2013.6475060

Markdown

[Pang and Neumann. "The Gixel Array Descriptor (GAD) for Multimodal Image Matching." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013.](https://mlanthology.org/wacv/2013/pang2013wacv-gixel/) doi:10.1109/WACV.2013.6475060

BibTeX

@inproceedings{pang2013wacv-gixel,
  title     = {{The Gixel Array Descriptor (GAD) for Multimodal Image Matching}},
  author    = {Pang, Guan and Neumann, Ulrich},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2013},
  pages     = {497-504},
  doi       = {10.1109/WACV.2013.6475060},
  url       = {https://mlanthology.org/wacv/2013/pang2013wacv-gixel/}
}