[robocup-nao] SPQR Ball Perceptor - code release

[Vincenzo Suriani]

*****
This email is a resend, since we are not sure if the previous message has
been correctly sent. We take this opportunity to communicate the
publication of a technical report about the proposed method, available at
https://arxiv.org/abs/1707.03628
*****

Dear SPL teams,

SPQR Team announces the release of the SPQR Ball Perceptor.

SPQR Ball Perceptor is a software module for black and white ball detection
developed by the SPQR Team to be used within the B-Human framework.

The SPQR Ball detector is based on a supervised approach implemented in
OpenCV. In particular, an LBP binary cascade classifier has been trained to
detect the official RoboCup SPL ball. The detector can be used without
modifications both indoor and outdoor, inside and outside the game field.

Details about how to generate the classifier are available in the tutorial
"How to Use OpenCV for Ball Detection - RoboCup SPL Use Case" (
http://profs.scienze.univr.it/~bloisi/tutorial/balldetection.html).

Code is available at the following repo
https://github.com/SPQRTeam/SPQRBallPerceptor

The repo is a fork from the official 2016 B-Human code release.


We would like to thank the B-Human Team for sharing their code.


Thank you

Domenico Bloisi and Vincenzo Suriani - on behalf of the SPQR Team
http://spqr.diag.uniroma1.it/
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