3D imaging based on depth measurement technologies
Three-dimensional (3D) imaging has attracted more and more interest because of its
widespread applications, especially in information and life science. These techniques can …
widespread applications, especially in information and life science. These techniques can …
Deep learning for camera autofocus
Most digital cameras use specialized autofocus sensors, such as phase detection, lidar or
ultrasound, to directly measure focus state. However, such sensors increase cost and …
ultrasound, to directly measure focus state. However, such sensors increase cost and …
A unilateral 3D indoor positioning system employing optical camera communications
This article investigates the use of a visible light positioning system in an indoor environment
to provide a three dimensional (3D) high‐accuracy solution. The proposed system …
to provide a three dimensional (3D) high‐accuracy solution. The proposed system …
Composite focus measure for high quality depth maps
P Sakurikar, PJ Narayanan - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Depth from focus is a highly accessible method to estimate the 3D structure of everyday
scenes. Today's DSLR and mobile cameras facilitate the easy capture of multiple focused …
scenes. Today's DSLR and mobile cameras facilitate the easy capture of multiple focused …
Self-supervised single-image depth estimation from focus and defocus clues
Y Lu, G Milliron, J Slagter, G Lu - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Self-supervised depth estimation has recently demonstrated promising performance
compared to the supervised methods on challenging indoor scenes. However, the majority …
compared to the supervised methods on challenging indoor scenes. However, the majority …
A method to estimate prey density from single-camera images: A case study with chinstrap penguins and Antarctic krill
Estimating the densities of marine prey observed in animal-borne video loggers when
encountered by foraging predators represents an important challenge for understanding …
encountered by foraging predators represents an important challenge for understanding …
Accurate depth map estimation from small motions
H Javidnia, P Corcoran - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
In this paper, a novel approach is proposed to compute a high quality dense depth map
together with a semi-dense/dense 3D structure from a sequence of images captured on a …
together with a semi-dense/dense 3D structure from a sequence of images captured on a …
3D digitization of tangible heritage
G Pavlidis, A Koutsoudis - Handbook of Cultural Heritage Analysis, 2022 - Springer
Digitization of tangible entities is the process that focuses on the transformation of the real
world and its features to a virtual world, the digital world of computing devices. This virtual …
world and its features to a virtual world, the digital world of computing devices. This virtual …
Single image defocus map estimation through patch blurriness classification and its applications
Depth information is useful in many image processing applications. However, since taking a
picture is a process of projection of a 3D scene onto a 2D imaging sensor, the depth …
picture is a process of projection of a 3D scene onto a 2D imaging sensor, the depth …
A depth from defocus measurement system using a liquid lens objective for extended depth range
A novel depth from defocus (DFD) measurement system is presented, where the extension
of the measurement range is performed using an emergent technology based on liquid …
of the measurement range is performed using an emergent technology based on liquid …