کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10360451 869828 2005 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Appearance-based recognition of 3-D objects by cluttered background and occlusions
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Appearance-based recognition of 3-D objects by cluttered background and occlusions
چکیده انگلیسی
In this article we present a new appearance-based approach for the classification and the localization of 3-D objects in complex scenes. A main problem for object recognition is that the size and the appearance of the objects in the image vary for 3-D transformations. For this reason, we model the region of the object in the image as well as the object features themselves as functions of these transformations. We integrate the model into a statistical framework, and so we can deal with noise and illumination changes. To handle heterogeneous background and occlusions, we introduce a background model and an assignment function. Thus, the object recognition system becomes robust, and a reliable distinction, which features belong to the object and which to the background, is possible. Experiments on three large data sets that contain rotations orthogonal to the image plane and scaling with together more than 100 000 images show that the approach is well suited for this task.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 38, Issue 5, May 2005, Pages 739-753
نویسندگان
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