Download e-book for kindle: Advanced Concepts for Intelligent Vision Systems: 14th by Deokwoo Lee, Hamid Krim (auth.), Jacques Blanc-Talon,

By Deokwoo Lee, Hamid Krim (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders, Pavel Zemčík (eds.)

ISBN-10: 3642331394

ISBN-13: 9783642331398

ISBN-10: 3642331408

ISBN-13: 9783642331404

This e-book constitutes the completely refereed court cases of the 14th overseas convention on complex ideas for clever imaginative and prescient platforms, ACIVS 2012, held in Brno, Czech Republic, in September 2012. The forty six revised complete papers have been conscientiously chosen from eighty one submissions and care for picture research and machine imaginative and prescient with a spotlight on detection, popularity, monitoring and identification.

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Read or Download Advanced Concepts for Intelligent Vision Systems: 14th International Conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012. Proceedings PDF

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Additional info for Advanced Concepts for Intelligent Vision Systems: 14th International Conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012. Proceedings

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Afterward, the algorithm developed in [5] is used as an eyelid detector. Iris edge is modeled by means of a “one-dimensional Markov field”. Pixels inside and outside the iris are assumed to be statistically independent Gaussian random variables. This algorithm determines if a pixel is in the iris area or in the background. In this respect, pixels are characterized by its polar coordinates (r, θ) from the iris center. Iris boundary is parameterized by a radius rk for all p = 32 angular directions θk , k = 1, .

Update of radii rk : optimization is performed by mean of an ICM (Iterated Conditional Mode) algorithm which approximates MAP (Maximum A Posteriori) Bayesian restoration for Markov random fields [2]. For our experiment, convergence of the algorithm is assumed after 10 iterations. 2 Focus Score Not all images for which pupil and iris have been found are employed to construct the iris code. We only take into account images for which the focus score proposed in [6] is above a given threshold (set to 50 in our experiments).

Robust and accurate iris segmentation in very noisy iris images. Image and Vision Computing 28, 246–253 (2010) 11. : An approach to time series smoothing and forecasting using the EM algorithm. J. nl Abstract. In human eyes, many clues are used to perceive depth. For nearby tasks involving eye-hand coordination, depth from vergence is a strong cue. In our research on humanoid robots we study binocular robotic eyes that can pan and tilt and perceive depth from stereo, as well as depth from vergence by fixing both eyes on a nearby object.

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Advanced Concepts for Intelligent Vision Systems: 14th International Conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012. Proceedings by Deokwoo Lee, Hamid Krim (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders, Pavel Zemčík (eds.)


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