International audienceRecovering the scene depth map from a computer-generated hologram is a problem that remains unsolved, despite the growing interest in the subject. In this article, we propose to study the application of depth-from-focus (DFF) methods to retrieve the depth information from the hologram. We discuss the different hyperparameters that are required for the application of the method and their impact on the final result. The obtained results show that DFF methods can be used for depth estimation from the hologram if the set of hyperparameters are well chosen
We present a technique to convert a digital hologram of a three-dimensional object into a surface p...
Abstract: A comparison of algorithms for depth-of-field extension in the particular field of digital...
We propose two computational techniques for extracting object cross-sectional shape information from...
Information extraction from computer-generated holograms using learning-based methods is a topic tha...
International audienceDepth from focus is a simple and effective methodology for retrieving the scen...
In this paper, we propose a novel model to extract highly precise depth maps from missing viewpoints...
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holo...
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holo...
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holo...
When a digital hologram is reconstructed only points on objects within the depth of focus at the rec...
When a digital hologram is reconstructed only points on objects within the depth of focus at the rec...
International audienceObject pre-localization from computer-generated holograms is still an open pro...
Focus analysis techniques from computer vision are applied to digital holography to determine the de...
Object pre-localization from computer-generated holograms is still an open problem in the current st...
We present a technique to convert a digital hologram of a three-dimensional object into a surface p...
We present a technique to convert a digital hologram of a three-dimensional object into a surface p...
Abstract: A comparison of algorithms for depth-of-field extension in the particular field of digital...
We propose two computational techniques for extracting object cross-sectional shape information from...
Information extraction from computer-generated holograms using learning-based methods is a topic tha...
International audienceDepth from focus is a simple and effective methodology for retrieving the scen...
In this paper, we propose a novel model to extract highly precise depth maps from missing viewpoints...
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holo...
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holo...
Depth extraction is an important aspect of three-dimensional (3D) image processing with digital holo...
When a digital hologram is reconstructed only points on objects within the depth of focus at the rec...
When a digital hologram is reconstructed only points on objects within the depth of focus at the rec...
International audienceObject pre-localization from computer-generated holograms is still an open pro...
Focus analysis techniques from computer vision are applied to digital holography to determine the de...
Object pre-localization from computer-generated holograms is still an open problem in the current st...
We present a technique to convert a digital hologram of a three-dimensional object into a surface p...
We present a technique to convert a digital hologram of a three-dimensional object into a surface p...
Abstract: A comparison of algorithms for depth-of-field extension in the particular field of digital...
We propose two computational techniques for extracting object cross-sectional shape information from...