Pallet Detection and Mapping - Revision history

Saesha at 17:08, 21 November 2014

2014-11-21T17:08:45Z

Saesha at 17:06, 21 November 2014

2014-11-21T17:06:57Z

Saesha: Created page with "{{StudentProjectTemplate |Summary=Pallet Detection and Mapping in a Warehouse Environment |Programme=Mobile and Autonomous Systems |Keywords=Object Recognition, Classification..."

2014-11-21T17:06:11Z

Created page with "{{StudentProjectTemplate |Summary=Pallet Detection and Mapping in a Warehouse Environment |Programme=Mobile and Autonomous Systems |Keywords=Object Recognition, Classification..."

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{{StudentProjectTemplate
|Summary=Pallet Detection and Mapping in a Warehouse Environment
|Programme=Mobile and Autonomous Systems
|Keywords=Object Recognition, Classification, Mapping, Scene Understanding
|TimeFrame=January 2015 until June 2015, with possible extension until September 2015.
|References=Belongie, Serge, Jitendra Malik, and Jan Puzicha. "Shape matching and object recognition using shape contexts." Pattern Analysis and Machine Intelligence, IEEE Transactions on 24.4 (2002): 509-522.

Viola, Paul, and Michael Jones. "Rapid object detection using a boosted cascade of simple features." Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. Vol. 1. IEEE, 2001.

Lowe, David G. "Local feature view clustering for 3D object recognition." Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. Vol. 1. IEEE, 2001.

Lowe, David G. "Distinctive image features from scale-invariant keypoints." International journal of computer vision 60.2 (2004): 91-110.

Bay, Herbert, et al. ”Speeded-up robust features (SURF).” Computer vision and image understanding 110.3 (2008): 346-359.

Pinto, Nicolas, David D. Cox, and James J. DiCarlo. "Why is real-world visual object recognition hard?." PLoS computational biology 4.1 (2008): e27.
|Prerequisites=Image analysis, programming skills (preferably C++ or Python), familiarity with pattern recognition, Familiarity with filtering techniques (eg. EKF) for mobile robots mapping.
|Supervisor=bj
}}

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 Pinto, Nicolas, David D. Cox, and James J. DiCarlo. "Why is real-world visual object recognition hard?." PLoS computational biology 4.1 (2008): e27.
 |Prerequisites=Image analysis, programming skills (preferably C++ or Python), familiarity with pattern recognition, Familiarity with filtering techniques (eg. EKF) for mobile robots mapping.
 |Supervisor=Björn Åstrand, Saeed Gholami Shahbandi,
 |Level=Master
 |Status=Open