مشخصات پژوهش

عنوان	A Hybrid of Inference and Stacked Classifiers to Indoor Scenes Classification of RGB-D Images
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	Stacked Classifiers, Scene Classification, RGB-D Indoor Scene, RGB-D Scene Understanding
چکیده	—Scene classification makes it easier to semantic scene understanding and aids to further processes and inference, using an assignment of pre-defined classes. Under this motive, we proposed an approach to classify indoor scene objects. The proposed method utilizes a stacked classifier model and refines classification results considering segment consistency. Furthermore, the challenging and messy indoor scene images have been addressed, as dealing daily. Finally, this approach s
پژوهشگران	شکوه شلیل احمدی (نفر اول)، حسن ختن لو (نفر دوم)