Evaluation of the SIFT Object Recognition Method in Mobile Robots

General object recognition in mobile robots is of primary importance in order to enhance the representation of the environment that robots will use for their reasoning processes. Therefore, we contribute reduce this gap by evaluating the SIFT Object Recognition method in a challenging dataset, focusing on issues relevant to mobile robotics. Resistance of the method to the robotics working conditions was found, but it was limited mainly to well-textured objects. Keywords. Computer Vision, Object Recognition, Mobile Robots

• Type: Conference
• Year: 2009
• Where: CCIA
• Authors: Arnau Ramisa, Shrihari Vasudevan, David Aldavert, Ricardo Toledo, Ramon López de Mántaras
• Keywords: Artificial Intelligence, CCIA 2009, General Object Recognition, Mobile Robots, Object Recognition