Efficient Non-Maximum Suppression

, and . Proceedings of the 18th International Conference on Pattern Recognition - Volume 03, page 850--855. Washington, DC, USA, IEEE Computer Society, (2006)


In this work we scrutinize a low level computer vision task - non-maximum suppression (NMS) - which is a crucial preprocessing step in many computer vision applications. Especially in real time scenarios, efficient algorithms for such preprocessing algorithms, which operate on the full image resolution, are important. In the case of NMS, it seems that merely the straightforward implementation or slight improvements are known. We show that these are far from being optimal, and derive several algorithms ranging from easy-to-implement to highly-efficient.


Efficient Non-Maximum Suppression

Links and resources

BibTeX key:
search on:

Comments and Reviews  

There is no review or comment yet. You can write one!


Cite this publication