Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

Light field (LF) imaging has attracted attention because of its ability to solve computer vision
problems. In this paper we briefly review the research progress in computer vision in recent …

We present a fully convolutional autoencoder for light fields, which jointly encodes stacks of
horizontal and vertical epipolar plane images through a deep network of residual layers. The …

Despite the ubiquitous use of materials maps in modern rendering pipelines, their editing
and control remains a challenge. In this paper, we present an example‐based material …

The authors present a framework for image-based surface appearance editing for light-field
data. Their framework improves over the state of the art without the need for a full “inverse …

In traffic environments where both vehicles and pedestrians coexist, predicting the path of a
pedestrian is an important task for automated driving and driver support systems to prevent …

光场成像因其解决计算机视觉问题的能力而备受关注. 本文首先简要回顾了近年来计算机视觉的
研究进展. 对于影响计算机视觉发展的大多数因素来说, 视觉信息获取的丰富性和准确性起着 …

Light field (LF) imaging has attracted attention because of its ability to solve computer vision
problems. In this paper we briefly review the research progress in computer vision in recent …

Intrinsic image decomposition aims to separate an illumination invariant reflectance image
from an input color image, which is still one of the fundamental problems in computer vision …