LEARNING
An ultrasonic robot eye system for three-dimensional object recognition using neural network
Shinya Watanabe, Mitsutoshi Yoneyama
- Year
- 2002
- Citations
- 3
Abstract
A novel imaging system has been devised by combining acoustic imaging with neural networks. Information on ultrasonic scattered waves from objects is converted into an acoustic image. Several feature images are calculated, and then a neural network integrates their images and reconstructs a fine image. With this system, using simple shape objects as teaching patterns, images of unknown objects can be restored.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
Artificial intelligenceArtificial neural networkComputer visionUltrasonic sensorComputer scienceObject (grammar)Feature (linguistics)Cognitive neuroscience of visual object recognitionRobotUltrasonic imaging
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002