Combining depth and colour data for 3D object recognition

被引：0
|
作者：
Jorgenson, TM
Linneberg, C
Andersen, AW
机构：
来源：
INTELLIGENT ROBOTS AND COMPUTER VISION XVI: ALGORITHMS, TECHNIQUES, ACTIVE VISION, AND MATERIALS HANDLING | 1997年 / 3208卷
关键词：
3D; RAM neural net; vision; disassembly; recycling; ADAS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes the shape recognition system that, has been developed within the ESPRIT project 9052 ADAS on automatic disassembly of TV-sets using a robot cell. Depth data from a chirped laser radar are fused with colour data from a video camera. The sensor data is pre-processed in several ways and the obtained representation is used to train a RAM neural network (memory based reasoning approach) to detect different components within TV-sets. The shape recognising architecture has been implemented and tested in a demonstration setup.
引用
收藏
页码：328 / 338
页数：11
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