A protocol for performance evaluation of line detection algorithms
Machine Vision and Applications - Special issue on performance evaluation
A Benchmark: Performance Evaluation of Dashed-Line Detection Algorithms
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
Quantitative Measurement of the Performance of Raster-to-Vector Conversion Algorithms
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
Performance Evaluation of 2D Feature Tracking Based on Bayesian Estimation
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
| Hi-index | 0.00 |
We propose some principles for performance evaluation of graphics recognition algorithms. The main principles include using continuous values of matching degree instead of binary values, selecting objective-driven and comprehensive performance contents, and defining metrics quantitatively, normatively, objectively, and compatibly with the human vision evaluation.