IJCV
1998
13 years 4 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
13 years 5 months 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
13 years 5 months 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
13 years 8 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
13 years 10 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
13 years 10 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
14 years 6 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...