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[PDF][PDF] Linear volumetric focus for light field cameras.
We demonstrate that the redundant information in light field imagery allows volumetric focus,
an improvement of signal quality that maintains focus over a controllable range of depths. To …
an improvement of signal quality that maintains focus over a controllable range of depths. To …
Capsfield: Light field-based face and expression recognition in the wild using capsule routing
Light field (LF) cameras provide rich spatio-angular visual representations by sensing the
visual scene from multiple perspectives and have recently emerged as a promising …
visual scene from multiple perspectives and have recently emerged as a promising …
Refocusing distance of a standard plenoptic camera
Recent developments in computational photography enabled variation of the optical focus of
a plenoptic camera after image exposure, also known as refocusing. Existing ray models in …
a plenoptic camera after image exposure, also known as refocusing. Existing ray models in …
Baseline and triangulation geometry in a standard plenoptic camera
In this paper, we demonstrate light field triangulation to determine depth distances and
baselines in a plenoptic camera. Advances in micro lenses and image sensors have …
baselines in a plenoptic camera. Advances in micro lenses and image sensors have …
A double-deep spatio-angular learning framework for light field-based face recognition
Face recognition has attracted increasing attention due to its wide range of applications, but
it is still challenging when facing large variations in the biometric data characteristics …
it is still challenging when facing large variations in the biometric data characteristics …
Light field-based face presentation attack detection: reviewing, benchmarking and one step further
Vulnerability of face recognition systems to presentation attacks has attracted increasing
attention from the biometrics and forensics communities. Moreover, the recent availability of …
attention from the biometrics and forensics communities. Moreover, the recent availability of …
Light field image compression based on convolutional neural networks and linear approximation
Computer vision applications such as refocusing, segmentation and classification become
one of the most advanced imaging services. Light Field (LF) imaging systems provide a rich …
one of the most advanced imaging services. Light Field (LF) imaging systems provide a rich …
Image-based visual servoing with light field cameras
This paper proposes the first derivation, implementation, and experimental validation of light
field image-based visual servoing. Light field image Jacobians are derived based on a …
field image-based visual servoing. Light field image Jacobians are derived based on a …
Long short-term memory with gate and state level fusion for light field-based face recognition
Long Short-Term Memory (LSTM) is a prominent recurrent neural network for extracting
dependencies from sequential data such as time-series and multi-view data, having …
dependencies from sequential data such as time-series and multi-view data, having …
Focus model for metric depth estimation in standard plenoptic cameras
In recent years, a lot of efforts have been devoted to the problem of depth estimation from
lightfield images captured by standard plenoptic cameras. However, most of the metric depth …
lightfield images captured by standard plenoptic cameras. However, most of the metric depth …