A protocol for performance evaluation of line detection algorithms
Machine Vision and Applications - Special issue on performance evaluation
Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Improving the sketch-based interface: Forming curves from many small strokes
The Visual Computer: International Journal of Computer Graphics
SilSketch: automated sketch-based editing of surface meshes
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
Scribbles to vectors: preparation of scribble drawings for CAD interpretation
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
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This paper presents a formal evaluation of the paper-based scribble simplification algorithm described in [BCFB07] and [BCFB08]. A comparative analysis of different aspects of the algorithm with other algorithms described in the literature such as Sparse Pixel Vectorization, spatial moving average filtering and Principal Component Analysis is performed, hence establishing the qualities of this paper-based scribble simplification algorithm. To quantify the performance of the algorithm, performance measures established in the literature, such as the Pixel Recovery Index are used when suitable. However, since there exists no quantitative measure which measures scribble simplification, this paper proposes a new methodology with which scribble simplification may be quantitatively assessed. Through the evaluation described in this paper, we will be able to determine remaining difficulties in the interpretation of paper-based scribbles and hence identify future research areas.