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Multiscale edge detection on range images via normal changes

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5 Author(s)
Chwen-Jye Sze ; Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-Li, Taiwan ; Liao, H.-Y.M. ; Hai-Lung Hung ; Kuo-Chin Fan
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A new edge detection technique based on detection of normal changes is proposed. Most of the existing range image-based edge detection algorithms base their detection, criterion on depth or curvature changes. However, the depth change-based approach does not have keen sensitivity in detecting roof (or crease) edges, and the curvature change-based approach suffers from a complicated and tedious principal curvature derivation process. Using normal changes as a detecting criterion, on the other hand, the existence of an edge can be easily detected, even when the change across a boundary is slight. Experimental results using both synthetic and real images demonstrate that the proposed method can efficiently detect both step and roof edges

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Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:45 ,  Issue: 8 )