Add to ORKGGeometric information such as depth obtained from light fields finds more applications recently. Where and how to sample images to populate a light field is an important problem to maximize the usability of information gathered for depth re-construction. We propose a simple analysis model for view sampling and an adaptive, online sampling algorithm tailored to light field depth reconstruction. Our model is based on the trade-off between visibility and depth resolvability for varying sampling locations, and seeks the optimal locations that best balance the two conflicting criteria. 1
This paper introduces a novel deep network for estimating depth maps from a light field image. For u...
One of the core applications of light field imaging is depth estimation. To acquire a depth map, exi...
The problem of accurate three-dimensional reconstruction is important for many research and industri...
International audienceThis paper addresses the problem of depth estimation for every viewpoint of a ...
This paper focuses on the sampling problem in light field rendering (LFR) that is a fundamental appr...
Image-based relighting achieves high quality in rendering, but it requires a large number of measure...
Recent studies in the light field imaging have shown the potential and advantages of different light...
Optical systems used in photography and cinema produce depth of field effects, that is, varia-tions ...
Light field technology, which emerged as a solution to the increasing demands of visually immersive ...
Light field (LF) rendering is widely used in free viewpoint video systems (FVV). Different methods h...
Depth-of-field is one of the most crucial rendering effects for synthesizing photorealistic images. ...
Modeling the appearance of real scenes from captured images is one key problem in computer graphics ...
International audienceOptical systems used in photography and cinema produce depth of field effects, ...
Light fields have been populated as a new geometry representation of 3D scenes, which is composed of...
Light Field (LF) depth estimation is an important research direction in the area of computer vision ...
This paper introduces a novel deep network for estimating depth maps from a light field image. For u...
One of the core applications of light field imaging is depth estimation. To acquire a depth map, exi...
The problem of accurate three-dimensional reconstruction is important for many research and industri...
International audienceThis paper addresses the problem of depth estimation for every viewpoint of a ...
This paper focuses on the sampling problem in light field rendering (LFR) that is a fundamental appr...
Image-based relighting achieves high quality in rendering, but it requires a large number of measure...
Recent studies in the light field imaging have shown the potential and advantages of different light...
Optical systems used in photography and cinema produce depth of field effects, that is, varia-tions ...
Light field technology, which emerged as a solution to the increasing demands of visually immersive ...
Light field (LF) rendering is widely used in free viewpoint video systems (FVV). Different methods h...
Depth-of-field is one of the most crucial rendering effects for synthesizing photorealistic images. ...
Modeling the appearance of real scenes from captured images is one key problem in computer graphics ...
International audienceOptical systems used in photography and cinema produce depth of field effects, ...
Light fields have been populated as a new geometry representation of 3D scenes, which is composed of...
Light Field (LF) depth estimation is an important research direction in the area of computer vision ...
This paper introduces a novel deep network for estimating depth maps from a light field image. For u...
One of the core applications of light field imaging is depth estimation. To acquire a depth map, exi...
The problem of accurate three-dimensional reconstruction is important for many research and industri...