Indoor Scene Recognition Using Local Semantic Concepts
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 452
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شناسه ملی سند علمی:
JR_ACSIJ-4-3_005
تاریخ نمایه سازی: 7 آذر 1394
چکیده مقاله:
This paper introduces a system for recognizing indoor scene images. The system aims at recognizing the environment illustrated in an image and assigning an appropriate semanticlabel to it. Developing such systems is one of the most important issues in the field of machine vision and robotics. They areextensively used in object recognition, image and video semantic recognition, motion detection, positioning, and robot direction.The overall algorithm involves three major steps. The first is toextract local information and spatial relationships in the images, modeling the environment based on those pieces of information,and using this model for the semantic sectioning of the image and labeling local areas using graph-based energy minimizationalgorithm. Results show that this system can perform as well as other object-based and 3D-image features-based environment recognition systems
کلیدواژه ها:
نویسندگان
Elham Seifossadat
Electrical and Computer Department,Isfahan University of Technology Isfahan, Iran
Niloofar Gheissari
Electrical and Computer Department,Isfahan University of Technology Isfahan, Iran
Ali Fanian
Electrical and Computer Department,Isfahan University of Technology Isfahan, Iran