Visible models for interactive pattern recognition
Pattern Recognition Letters
Mobile-based flower recognition system
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Flower image recognition using difference image entropy
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
An interactive flower image recognition system
Multimedia Tools and Applications
Shape-based image retrieval in botanical collections
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Interactive, mobile, distributed pattern recognition
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Notes on contemporary table recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
| Hi-index | 0.00 |
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.