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A Geometric Framework for Rectangular Shape Detection
IEEE Transactions on Image Processing, 2014Rectangular shape detection has a wide range of applications, such as license plate detection, vehicle detection and building detection. In this paper, we propose a geometric framework for rectangular shape detection based on the channelscale space of RGB images.
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Recognizing multistroke geometric shapes
Proceedings of the 6th annual ACM symposium on User interface software and technology, 1993Ajay Apte, Van Vo, Takayuki Dan Kimura
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Geometric Continuity and Shape Parameters
2013Given the two curves Q 1(u) and Q 2(u), consider the joint \(\frac{{{\text{Q}}_1 \left( u \right)}} {{{\text{Q}}_2 \left( u \right)}}\). Recalling equation (4.1), continuity of the unit tangent vector is achieved if $$\frac{{{\text{Q}}_1^{\left( 1 \right)} \left( 1 \right)}} {{\left| {{\text{Q}}_1^{\left( 1 \right)} \left( 1 \right)} \right ...
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Geometric Shaping of 2-D Constellations in the Presence of Laser Phase Noise
Journal of Lightwave Technology, 2021Hubert Dzieciol +2 more
exaly
Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise
Journal of Lightwave Technology, 2023Sebastiaan Goossens +2 more
exaly

