Gradient Networks: Explicit Shape Matching Without Extracting Edges

Edward Hsiao and Martial Hebert
AAAI Conference on Artificial Intelligence (AAAI), July, 2013.


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Abstract
We present a novel framework for shape-based template matching in images. While previous approaches required brittle contour extraction, considered only local information, or used coarse statistics, we propose to match the shape explicitly on low-level gradients by formulating the problem as traversing paths in a gradient network. We evaluate our algorithm on a challenging dataset of objects in cluttered environments and demonstrate significant improvement over state-of-the-art methods for shape matching and object detection.

Keywords
gradient networks, shape matching, object detection, edges, gradients

Notes

Text Reference
Edward Hsiao and Martial Hebert, "Gradient Networks: Explicit Shape Matching Without Extracting Edges," AAAI Conference on Artificial Intelligence (AAAI), July, 2013.

BibTeX Reference
@inproceedings{Hsiao_2013_7415,
   author = "Edward Hsiao and Martial Hebert",
   title = "Gradient Networks: Explicit Shape Matching Without Extracting Edges",
   booktitle = "AAAI Conference on Artificial Intelligence (AAAI)",
   month = "July",
   year = "2013",
}