کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
526502 869125 2007 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficient search and verification for function based classification from real range images
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Efficient search and verification for function based classification from real range images
چکیده انگلیسی
In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified using a functional class graph in which functional parts and their realization hypotheses are explored. The validation tree is efficiently searched. Some functional requirements are validated in a final procedure for more efficient separation of objects from non-objects. The search employs a knowledge repository mechanism that monotonically adds knowledge during the search and speeds up the classification process. Finally, we describe our implementation and present results of experiments on a database that comprises about 150 real raw range images of object instances from 10 classes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 105, Issue 3, March 2007, Pages 200-217
نویسندگان
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