## Abstract This article describes a new method for object trajectory estimation that uses sequences of images taken from a monocular camera. The method integrates a Kalman filter to estimate the three‐dimensional (3D) parameters of the optical system and a lineal projective model to determine 3D p
Automatic reconstruction of 3D human arm motion from a monocular image sequence
✍ Scribed by Valentina Filova; Franc Solina; Jadran Lenarčič
- Publisher
- Springer-Verlag
- Year
- 1998
- Tongue
- English
- Weight
- 320 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0932-8092
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This paper reports an approach of computing depth maps from a monocular image sequence, under the assumption that the camera motion is known. The direct depth estimation method is combined with the optical flow based method to improve estimation accuracy. The optical flow on and near moving edges ar
## Abstract The combined magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) modeling approach is playing an increasingly important role in advancing our understanding of the relationship between hemodynamics and arterial disease. Nevertheless, such a modeling approach involves
Background: Computer-based three-dimensional (3D) visualizations reconstructed from sectional images represent a valuable tool in biomedical research and medical diagnosis. Particularly with those imaging techniques that provide virtual sections, such as CT, MRI, and CLSM, 3D reconstructions have be