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ICPR
2004
IEEE

Evaluation of Model-Based Interactive Flower Recognition

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Evaluation of Model-Based Interactive Flower Recognition
We introduce the concept of Computer Assisted Visual InterActive Recognition (CAVIAR). In CAVIAR, a parameterized geometrical model serves as the human-computer communication channel. We implemented a flower recognition system and evaluated it on 30 inexperienced subjects. Major conclusions include: 1) the accuracy of the CAVIAR system is much higher than that of the machine alone; 2) its recognition time is much lower than that of the human alone; 3) it can be initialized with as few as one training sample per class and still achieve high accuracy; 4) it demonstrates a self-learning ability, which suggests that instead of initializing the CAVIAR system with many training samples, we can trust the system's self-learning ability.
Jie Zou, George Nagy
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Jie Zou, George Nagy
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