Corner characterization by differential geometry techniques
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Cited by (38)
Geometric rosette patterns analysis and generation
2017, Journal of Cultural HeritageCitation Excerpt :A large number of corner detectors have been proposed in the literature. They can be grouped broadly into three categories: Gray-level based methods [14–19], contour based methods [20–24] and parametric model based methods [25–27]. In this paper, we use the Förstner method presented in [23] and its implementation described in [24,25,28].
Visual recognition of aircraft mechanical parts for smart maintenance
2017, Computers in IndustryCitation Excerpt :To do so, several operators have been proposed in the past. Among the others, we can mention the Harris corner detector [17] and its improved Harris-Laplace version [18], the Differences of Gaussian (DoG) operator [19], the Speeded Up Robust Features (SURF) [20]) and the Features from Accelerated Segment Test (FAST) [21]. In particular, the last three (DoG, SURF and FAST) have the advantage of being invariant with respect to rotation and scale, and, according to the comparison made by Tuytelaars and Mikolajczyk [22], they are characterized by having good degrees of repeatability (low sensitivity to the viewing conditions), accuracy (precision of localization), and robustness (low sensitivity to image noise, discretization effects, compression artifacts, blur, etc.).
Detecting and matching feature points
2005, Journal of Visual Communication and Image RepresentationCitation Excerpt :Rohr's corner model was in turn inspired by Berzins (1984), who worked on the problem that Laplacian edge detectors encounter near corners. Guiducci (1998) uses a model which is similar to Rohr's, but only looks at the difference in intensity between the wedge and its background. The model is then fitted analytically from image derivatives rather than directly from the image intensities.
Measuring Corner Properties
1999, Computer Vision and Image UnderstandingAnalysis of gray level corner detection1
1999, Pattern Recognition LettersA hierarchical filter scheme for efficient corner detection
1998, Pattern Recognition Letters