Revisiting trends in augmented reality research: A review of the 2nd decade of ISMAR (2008–2017)
In 2008, Zhou et al. presented a survey paper summarizing the previous ten years of ISMAR
publications, which provided invaluable insights into the research challenges and trends …
publications, which provided invaluable insights into the research challenges and trends …
Low illumination underwater light field images reconstruction using deep convolutional neural networks
Underwater optical images are usually influenced by low lighting, high turbidity scattering
and wavelength absorption. To solve these issues, a great deal of work has been performed …
and wavelength absorption. To solve these issues, a great deal of work has been performed …
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
ElasticFusion: Real-time dense SLAM and light source estimation
T Whelan, RF Salas-Moreno… - … Journal of Robotics …, 2016 - journals.sagepub.com
We present a novel approach to real-time dense visual simultaneous localisation and
mapping. Our system is capable of capturing comprehensive dense globally consistent …
mapping. Our system is capable of capturing comprehensive dense globally consistent …
Orca: Glossy objects as radiance-field cameras
Reflections on glossy objects contain valuable and hidden information about the
surrounding environment. By converting these objects into cameras, we can unlock exciting …
surrounding environment. By converting these objects into cameras, we can unlock exciting …
Single-image specular highlight removal via real-world dataset construction
Specular reflections pose great challenges on various multimedia and computer vision
tasks, eg, image segmentation, detection and matching. In this paper, we build a large-scale …
tasks, eg, image segmentation, detection and matching. In this paper, we build a large-scale …
Learning lightprobes for mixed reality illumination
This paper presents the first photometric registration pipeline for Mixed Reality based on
high quality illumination estimation using convolutional neural networks (CNNs). For easy …
high quality illumination estimation using convolutional neural networks (CNNs). For easy …
Interactive near-field illumination for photorealistic augmented reality on mobile devices
Mobile devices become more and more important today, especially for augmented reality
(AR) applications in which the camera of the mobile device acts like a window into the mixed …
(AR) applications in which the camera of the mobile device acts like a window into the mixed …
Mobile surface reflectometry
We present two approaches for acquiring spatially varying reflectance of planar samples
using a mobile device. For samples with rough specular BRDF, we propose to employ the …
using a mobile device. For samples with rough specular BRDF, we propose to employ the …
Photorealistic rendering of mixed reality scenes
Photo‐realistic rendering of virtual objects into real scenes is one of the most important
research problems in computer graphics. Methods for capture and rendering of mixed reality …
research problems in computer graphics. Methods for capture and rendering of mixed reality …