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A Geometric Framework for Rectangular Shape Detection

IEEE Transactions on Image Processing, 2014
Rectangular 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.
openaire   +3 more sources

Geometric Properties: Shape

2020
S. E. Thornbush, Mary J. Thornbush
openaire   +1 more source

Recognizing multistroke geometric shapes

Proceedings of the 6th annual ACM symposium on User interface software and technology, 1993
Ajay Apte, Van Vo, Takayuki Dan Kimura
openaire   +1 more source

Geometric Continuity and Shape Parameters

2013
Given 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 ...
openaire   +1 more source

Geometric Shaping of 2-D Constellations in the Presence of Laser Phase Noise

Journal of Lightwave Technology, 2021
Hubert Dzieciol   +2 more
exaly  

Geometric Shape Features

2019
Jyotismita Chaki, Nilanjan Dey
openaire   +1 more source

Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise

Journal of Lightwave Technology, 2023
Sebastiaan Goossens   +2 more
exaly  

Geometric Shapes

Humanistic Mathematics Network Journal, 1998
openaire   +1 more source

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