Academic
Keywords
Object Recognition

,Object Recognition,objects recognition,objection recognition,Object Recognitions,OBJECTIVES Recognition,Objective Recognition,Object recognit

Object Recognition
Publications: 11,835| Citation Count: 163,033
Stemming Variations: objects recognition, objection recognition, Object Recognitions, OBJECTIVES Recognition, Objective Recognition
Cumulative Annual
    • Object recognition is a central problem in computer vision research. Most object recognition systems have taken one of two approaches, using either global or local features exclusively. This may be in part due to the difficulty of combining a single global feature vector with a set of local features in a suitable manner...

    Dimitri A. Lisinet al. Combining Local and Global Image Features for Object Class Recognition

    • Object recognition is an important task associated to mobile robots that transport pieces between cells in a flexible production system or between different sections in an industrial plant. Upon detecting any obstacle, the recognition system must be able to inform which obstacle is in the robot path. Thus, the control system should be able to change the current robot behavior, in order to deviate from the detected obstacle or to follow it...

    Teodiano Freireet al. OBJECT RECOGNITION FOR AN AGENT-BASED CONTROLLED MOBILE ROBOT

    • Object recognition is an important task in many image processing and pattern recognition applications. Character recognition is one of the most successful applications of automatic pattern recognition techniques and essentially involves identification and classification of two dimensional (2D) signal structures...

    Nadeem Abbas Zaidiet al. Character Recognition using Statistical Parameters

    • Object recognition is an important part of human-computer interaction in situated environments, such as a home or an office. Especially useful is category-level recognition (e.g., recognizing the class of chairs, as opposed to a particular chair.) While humans can employ multimodal cues for cate-gorizing objects during situated conversational interactions, most computer algorithms currently rely on vision-only or speech-only recognition...

    Kate Saenkoet al. Towards adaptive object recognition for situated human-computer intera...

    • Object recognition is an integral part of computer vision and often requires three stages of processing: (1) pre-processing (2) feature extraction and (3) trainingrecognition. In the first stage of pre-processing, edge detection is one of the most fundamental and often used techniques...

    Shalom Darmanjianet al. Darmanjian-Shaker Method (DSM) Novel Edge Detector with Blurring

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