NDLI: A Taxonomy of 3D Occluded Objects Recognition Techniques

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A Taxonomy of 3D Occluded Objects Recognition Techniques

Content Provider	Springer Nature Link
Author	Soleimanizadeh, Shiva Mohamad, Dzulkifli Saba, Tanzila Al ghamdi, Jarallah Saleh
Copyright Year	2016
Abstract	The overall performances of object recognition techniques under different condition (e.g., occlusion, viewpoint, and illumination) have been improved significantly in recent years. New applications and hardware are shifted towards digital photography, and digital media. This faces an increase in Internet usage requiring object recognition for certain applications; particularly occulded objects. However occlusion is still an issue unhandled, interlacing the relations between extracted feature points through image, research is going on to develop efficient techniques and easy to use algorithms that would help users to source images; this need to overcome problems and issues regarding occlusion. The aim of this research is to review recognition occluded objects algorithms and figure out their pros and cons to solve the occlusion problem features, which are extracted from occluded object to distinguish objects from other co-existing objects by determining the new techniques, which could differentiate the occluded fragment and sections inside an image.
Starting Page	1
Ending Page	14
Page Count	14
File Format	PDF
Journal	3D Research
Volume Number	7
Issue Number	1
e-ISSN	20926731
Language	English
Publisher	3D Display Research Center
Publisher Date	2016-02-03
Publisher Place	Seoul
Access Restriction	Subscribed
Subject Keyword	Occluded objects Classification Features mining Text mining Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Optics, Optoelectronics, Plasmonics and Optical Devices
Content Type	Text
Resource Type	Article

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