3D object recognition based on a viewpoint-analysis

التفاصيل البيبلوغرافية
العنوان: 3D object recognition based on a viewpoint-analysis
المؤلفون: Nicola Ancona, Laura Caponetti, Arcangelo Distante, R. Mugnuolo
المصدر: Image and Vision Computing. 10:549-556
بيانات النشر: Elsevier BV, 1992.
سنة النشر: 1992
مصطلحات موضوعية: Matching (statistics), business.industry, Computer science, Cognitive neuroscience of visual object recognition, Deep-sky object, Data structure, Object (computer science), Object-oriented design, Signal Processing, Pattern recognition (psychology), Segmentation, Computer vision, Computer Vision and Pattern Recognition, Artificial intelligence, business
الوصف: An approach for the recognition of 3D objects is proposed. The approach is based on view-analysis and compilation of those aspects related to each of the objects being recognized, i.e. the expectations of appearance of the objects related to each viewpoint are generated and analyzed so as to discard viewpoints related to similar surfaces. For each object a 3D multiview description is introduced; these descriptions are integrated in a tree-structure data in order to simplify matching of the unknown object against every possible model.
تدمد: 0262-8856
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::0e4d4469f3ed71fcd2dcd31ee4066f19Test
https://doi.org/10.1016/0262-8856Test(92)90075-e
حقوق: CLOSED
رقم الانضمام: edsair.doi...........0e4d4469f3ed71fcd2dcd31ee4066f19
قاعدة البيانات: OpenAIRE