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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Object Identification and Categorization with Visual Context

Object Identification and Categorization with Visual Context

Kim, Sungho
Kweon, In So

Paperback

Technology & Engineering

ISBN10: 3639010337
ISBN13: 9783639010336
Publisher: Blues Kids Of Amer
Published: May 7 2008
Pages: 208
Weight: 0.63
Height: 0.44 Width: 6.00 Depth: 9.00
Language: English
The goal of object recognition is to label objects from images and to estimate the poses of the labeled objects. The field of object recognition has seen tremendous progress with successful appli-cations in some specific domains such as face recognition. However, the current state-of-the-art methods show unsatisfactory results for more general object domains in complex natural environments with visual ambiguities. In this dissertation, we aim to enhance the object identification and categorization with the guide of visual context and graphical model. In this work, we propose a general framework for the cooperative object identification and object categorization. Examplars used in identification provide useful information of simi-larity in categorization. Conversely, novel objects are rejected in identification but the proposed object categorization can label the novel objects and segment them out for database update in identification. This work can be helpful to the engineers in artificial intelligence and machine vision.

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