Adaptive 3-D object recognition from multiple views

1992 ◽  
Vol 14 (2) ◽  
pp. 107-124 ◽  
Author(s):  
M. Seibert ◽  
A.M. Waxman
Keyword(s):  
Object Recognition ◽  
Multiple Views

scholarly journals Robot-Based Creation of Complete 3D Workpiece Models

2022 ◽  
pp. 289-299
Author(s):  
David Singer ◽  
Dorian Rohner ◽  
Dominik Henrich
Keyword(s):  
Object Recognition ◽  
Point Clouds ◽  
The Other ◽  
Multiple Views ◽  
Proof Of Concept ◽  
Complete Model ◽  
Depth Sensor ◽  
Texture Information ◽  
Planning Approaches ◽  
Or Task

AbstractA complete object database containing a model (representing geometric and texture information) of every possible workpiece is a common necessity e.g. for different object recognition or task planning approaches. The generation of these models is often a tedious process. In this paper we present a fully automated approach to tackle this problem by generating complete workpiece models using a robotic manipulator. A workpiece is recorded by a depth sensor from multiple views for one side, then turned, and captured from the other side. The resulting point clouds are merged into one complete model. Additionally, we represent the information provided by the object’s texture using keypoints. We present a proof of concept and evaluate the precision of the final models. In the end we conclude the usefulness of our approach showing a precision of around 1 mm for the resulting models.

Object recognition using multiple views

2005 ◽  
Author(s):  
Hwang-Soo Kim ◽  
R. Jain ◽  
R. Volz
Keyword(s):  
Object Recognition ◽  
Multiple Views
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