Probabilistic contextual models for Object class recognition in uncontrived images.
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Date
2011-05
Authors
Hasanat, Mozaherul Hoque Abul
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Konteks merupakan suatu elemen penting dalam mendapatkan penjelasan yang bererti untuk sesuatu imej bagi kedua-dua sistem visual biologi dan buatan. Tesis ini mencadangkan permodelan hubungan konteks di antara objek dunia nyata di dalam imej yang tidak dibuat-buat bagi meningkatkan prestasi pengecaman kelas objek.
Context is a vital element in deriving meaningful explanation of an image for both biological, as well as, artificial vision systems. This thesis proposes to model contextual relation among real-world objects in uncontrived images in order to improve object class recognition performance.
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Keywords
Contextual model , Uncontrived images