The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 19-892
Full Name: Hendrik Thamer
Position: Researcher
Age: ON
Sex: Male
Address: Hochschulring 20, 28359 Bremen
Country: GERMANY
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E-mail address: tha@biba.uni-bremen.de
Other E-mails: hendrik.thamer@gmx.de
Title of the Paper: An Approach for 3D Object Recognition of Universal Goods
Authors as they appear in the Paper: Bernd Scholz-Reiter, Hendrik Thamer, Claudio Uriarte
Email addresses of all the authors: bsr@biba.uni-bremen.de,tha@biba.uni-bremen.de,uri@biba.uni-bremen.de
Number of paper pages: 8
Abstract: Today, unloading processes of standard container units are mainly executed manually. An automatic unloading system could automate this labor and time intensive process step. The crucial challenge in developing such a system is the object recognition of goods with undefined shape and size. The development and the successful market launch of the Paketroboter© has shown the feasibility of the correct detection of cubic goods inside a standard container unit. Nevertheless, there exists no established system that is able to unload universal packaged goods. The requirements for a suitable object recognition system for goods with undefined shapes are very high. In the case of an high error rate, the automatic unloading process has to be aborted or a manually intervention is necessary. This paper presents a concept that aims to develop an object recognition system for classification and pose detection of universal packaged goods inside a standard container unit. In order t!
o classify different packaged goods inside a less lighted container unit significant sensor data is required. On the basis of the sensor data, the object recognition system detects all goods and calculates suitable 3D gripping points for the manipulator unit. Therefore, range images from Time-of-Flight cameras and simulated images are used for image analysis.
Keywords: Image Processing, Machine Vision, Object Recognition, Range Image Simulation, ToF-Scanner
EXTENSION of the file: .doc
Special (Invited) Session: Towards 3D Object Recognition for Universal Goods in Logistic
Organizer of the Session: 104-242
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