أعرض تسجيلة المادة بشكل مبسط

dc.creator Ramisa, Arnau
dc.creator Vasudevan, Shrihari
dc.creator Scharamuzza, Davide
dc.creator Lopez de Mantaras, Ramon
dc.creator Siegwart, Roland
dc.date 2008-07-02T11:08:19Z
dc.date 2008-07-02T11:08:19Z
dc.date 2008
dc.date.accessioned 2017-01-31T02:18:36Z
dc.date.available 2017-01-31T02:18:36Z
dc.identifier Computer Vision Systems, 6th International Conference, ICVS 2008 Santorini, Greece, May 12-15, 2008 Proceedings. Lecture Notes in Computer Science, vol.5008, p.p.:353-362, Springer, 2008.
dc.identifier 978-3-540-79546-9
dc.identifier 0302-9743
dc.identifier 1611-3349
dc.identifier http://hdl.handle.net/10261/5520
dc.identifier 10.1007/978-3-540-79547-6_34
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/5520
dc.description This original publication is available at www.springerlink.com
dc.description Object recognition is a key feature for building robots capable of moving and performing tasks in human environments. However, current object recognition research largely ignores the problems that the mobile robots context introduces. This work addresses the problem of applying these techniques to mobile robotics in a typical household scenario. We select two state-of-the-art object recognition methods, which are suitable to be adapted to mobile robots, and we evaluate them on a challenging dataset of typical household objects that caters to these requirements. The different advantages and drawbacks found for each method are highlighted, and some ideas for extending them are proposed. Evaluation is done comparing the number of detected objects and false positives for both approaches.
dc.description This work has been partially funded by the FI grant and the BE grant from the AGAUR, the European Social Fund, the 2005/SGR/00093 project, supported by the Generalitat de Catalunya , the MIDCBR project grant TIN 200615140C0301, TIN 200615308C0202 and FEDER funds.
dc.description Peer reviewed
dc.format 262807 bytes
dc.format application/pdf
dc.language eng
dc.publisher Springer
dc.rights openAccess
dc.subject Artificial Intelligence
dc.subject Object recognition
dc.subject Mobile robot
dc.title A Tale of Two Object Recognition Methods for Mobile Robots
dc.type Artículo


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