Spectral gradient fields embedding for nonrigid shape matching

Alon Shtern, Ron Kimmel

פרסום מחקרי: פרסום בכתב עתמאמרביקורת עמיתים

תקציר

A popular approach for finding the correspondence between two nonrigid shapes is to embed their two-dimensional surfaces into some common Euclidean space, defining the comparison task as a problem of rigid matching in that space. We propose to extend this line of thought and introduce a novel spectral embedding, which exploits gradient fields for point to point matching. With this new embedding, a fully automatic system for finding the correspondence between shapes is introduced. The method is demonstrated to accurately recover the natural maps between nearly isometric surfaces and shown to achieve state-of-the-art results on known shape matching benchmarks.

שפה מקוריתאנגלית
עמודים (מ-עד)21-29
מספר עמודים9
כתב עתComputer Vision and Image Understanding
כרך140
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 1 נוב׳ 2015

ASJC Scopus subject areas

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