IJCV
1998
13 years 11 months ago
1998
A fundamental problem in depth from defocus is the measurement of relative defocus between images. The performance of previously proposed focus operators are inevitably sensitive t...
ECCV
2010
Springer
14 years 17 days ago
2010
Springer
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
DAGM
2010
Springer
14 years 17 days ago
2010
Springer
We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method pr...
DAGM
2006
Springer
14 years 3 months ago
2006
Springer
Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic f...
CRV
2005
IEEE
14 years 5 months ago
2005
IEEE
: We report on 4 algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate inte...
SCIA
2007
Springer
14 years 5 months ago
2007
Springer
This paper proposes a fast 3D reconstruction approach for efficiently generating watertight 3D models from multiple short baseline views. Our method is based on the combination of...
CVPR
1996
IEEE
15 years 1 months ago
1996
IEEE
A fundamental problem in depth from defocus is the measurement of relative defocus between images. We propose a class of broadband operators that, when used together, provide inva...