Abstract
Designing and simulating realistic clothing is challenging. Previous methods addressing the capture of clothing from 3D scans have been limited to single garments and simple motions, lack detail, or require specialized texture patterns. Here we address the problem of capturing regular clothing on fully dressed people in motion. People typically wear multiple pieces of clothing at a time. To estimate the shape of such clothing, track it over time, and render it believably, each garment must be segmented from the others and the body. Our ClothCap approach uses a new multi-part 3D model of clothed bodies, automatically segments each piece of clothing, estimates the minimally clothed body shape and pose under the…
Citation impact
512
total citations
- FWCI
- 49.14
- Percentile
- 100%
- References
- 68
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Clothing
- Computer science
- Motion capture
- Body shape
- Computer vision
- Motion (physics)
- Artificial intelligence
- Computer graphics (images)
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