Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
An autonomous six-DOF eye-in-hand system for in situ 3D object modeling
International Journal of Robotics Research
Interactive 3-d modeling system using a hand-held video camera
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Next-best-view planning for 3d object reconstruction under positioning error
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Multimedia Tools and Applications
An efficient method for fully automatic 3D digitization of unknown objects
Computers in Industry
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The focus of this paper is to design and implement a system capable of automatically reconstructing a prototype 3D model from a minimum number of range images of an object. Given an ideal 3D object model, the system iteratively renders range and intensity images of the model from a specified position, assimilates the range information into a prototype model, and determines the sensor pose (position and orientation) from which an optimal amount of previously unrecorded information may be acquired. Reconstruction is terminated when the model meets a given threshold of accuracy. Such a system has applications in the context of robot navigation, manufacturing, or hazardous materials handling. The system has been tested successfully on several synthetic data models, and each set of results was found to be reasonably consistent with an intuitive human search. The number of views necessary to reconstruct an adequate 3D prototype depends on the complexity of the object or scene and the initial data collected. The prototype models which the system recovers compare well with the ideal models