کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6959101 1451954 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sketch-based human motion retrieval via selected 2D geometric posture descriptor
ترجمه فارسی عنوان
بازیابی حرکت انسان مبتنی بر اسکچر از طریق توصیفگر وضعیت دو بعدی هندسی
کلمات کلیدی
بازیابی حرکت مبتنی بر طرح انتخاب ویژگی، انیمیشن کامپیوتری،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
Sketch-based human motion retrieval is a hot topic in computer animation in recent years. In this paper, we present a novel sketch-based human motion retrieval method via selected 2-dimensional (2D) Geometric Posture Descriptor (2GPD). Specially, we firstly propose a rich 2D pose feature call 2D Geometric Posture Descriptor (2GPD), which is effective in encoding the 2D posture similarity by exploiting the geometric relationships among different human body parts. Since the original 2GPD is of high dimension and redundant, a semi-supervised feature selection algorithm derived from Laplacian Score is then adopted to select the most discriminative feature component of 2GPD as feature representation, and we call it as selected 2GPD. Finally, a posture-by-posture motion retrieval algorithm is used to retrieve a motion sequence by sketching several key postures. Experimental results on CMU human motion database demonstrate the effectiveness of our proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 113, August 2015, Pages 1-8
نویسندگان
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