کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
525815 869028 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimation of human body shape and posture under clothing
ترجمه فارسی عنوان
برآورد فرم بدن انسان و وضعیت زیر لباس
کلمات کلیدی
مدل سازی انسانی و انسانی دیجیتال، فضای شکل آماری، پردازش هندسی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• We present a representation that models human body shape and posture independently.
• We estimate body shape and posture under clothing from single or multiple frames.
• For multiple frames, the fitting approach is stable.
• Higher fitting accuracy is achieved than when using a common variant of SCAPE.

Estimating the body shape and posture of a dressed human subject in motion represented as a sequence of (possibly incomplete) 3D meshes is important for virtual change rooms and security. To solve this problem, statistical shape spaces encoding human body shape and posture variations are commonly used to constrain the search space for the shape estimate. In this work, we propose a novel method that uses a posture-invariant shape space to model body shape variation combined with a skeleton-based deformation to model posture variation. Our method can estimate the body shape and posture of both static scans and motion sequences of human body scans with clothing that fits relatively closely to the body. In case of motion sequences, our method takes advantage of motion cues to solve for a single body shape estimate along with a sequence of posture estimates. We apply our approach to both static scans and motion sequences and demonstrate that using our method, higher fitting accuracy is achieved than when using a variant of the popular SCAPE model [2] and [18] as statistical model.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 127, October 2014, Pages 31–42
نویسندگان
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