דלג לתוכן (מקש קיצור 's')
אירועים

אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

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מיכאל ברונשטיין (אונ' לוגנו)
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יום שלישי, 13.11.2012, 11:30
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חדר 1003, בניין מאייר, הפקולטה להנדסת חשמל
Finding dense intrinsic correspondence between non-rigid shapes is a notoriously difficult problem with many important applications in computer graphics and pattern recognition.

In the first part of the talk, I will present a novel sparse modeling approach to non-rigid shape matching using only the ability to detect repeatable regions. As the input to our algorithm, we are given only two sets of regions in two shapes; no descriptors are provided so the correspondence between the regions is not know, nor we know how many regions correspond in the two shapes. I will show that even with such scarce information, it is possible to establish very accurate correspondence between the shapes by posing it as a problem of permuted sparse coding.

In the second part of the talk, I will show how to extend the method to the setting of non-isometric shapes using quasi-harmonic bases constructed by joint approximate diagonalization of Laplacian matrices.