Geometrical Model Generation of an Object with Robot Vision

Autor:	Hiroshi Kimura, Hui Lin, Eiji Nakano
Rok vydání:	1992
Předmět:	business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object (computer science) Cone (formal languages) Intersection Position (vector) Robot vision Point (geometry) Computer vision Artificial intelligence Adaptation (computer science) business Geometric modeling Mathematics
Zdroj:	Journal of the Robotics Society of Japan. 10:385-393
ISSN:	1884-7145 0289-1824
DOI:	10.7210/jrsj.10.385
Popis:	For an intelligent robot, determining efficiently the data of shape and posture of the objects in the real world environment will increase greatly the adaptation capacity for the unknown environment. With respect to these unknown 3-D objects, a robot vision system is proposed which is capable of constructing automatically their geometric models which include the information of both the shape and the posture or position of the objects. By means of this system, a “Visual Points Selecting Cone Intersection Method” is proposed which can select appropriate camera viewing point and direction automatically as investigating the partial shape of the object. With this method, experiments was performed which make clear that this method can get the model of object more accurately and effectively.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::61d5bae86732211093a7d2b8658de84e https://doi.org/10.7210/jrsj.10.385 Zobrazit plný text záznamu