Sciweavers

531 search results - page 87 / 107
» Using Photometric Invariants for 3D Object Recognition
Sort
View
ICPR
2008
IEEE
15 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
IROS
2007
IEEE
179views Robotics» more  IROS 2007»
15 years 3 months ago
Stereo-based 6D object localization for grasping with humanoid robot systems
Abstract— Robust vision-based grasping is still a hard problem for humanoid robot systems. When being restricted to using the camera system built-in into the robot’s head for o...
Pedram Azad, Tamim Asfour, Rüdiger Dillmann
87
Voted
AAAI
2008
14 years 11 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
PUC
2010
128views more  PUC 2010»
14 years 7 months ago
Interaction with large ubiquitous displays using camera-equipped mobile phones
Abstract In the ubiquitous computing environment, people will interact with everyday objects (or computers embedded in them) in ways different from the usual and familiar desktop u...
Seokhee Jeon, Jane Hwang, Gerard Jounghyun Kim, Ma...
95
Voted
ECCV
2004
Springer
15 years 11 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...