Proximal remote sensing buggies and potential applications for field-based phenoty**

D Deery, J Jimenez-Berni, H Jones, X Sirault… - Agronomy, 2014 - mdpi.com
The achievements made in genomic technology in recent decades are yet to be matched by
fast and accurate crop phenoty** methods. Such crop phenoty** methods are required …

3D face recognition: Two decades of progress and prospects

Y Guo, H Wang, L Wang, Y Lei, L Liu… - ACM Computing …, 2023 - dl.acm.org
Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

Nerf-supervision: Learning dense object descriptors from neural radiance fields

L Yen-Chen, P Florence, JT Barron… - … on robotics and …, 2022 - ieeexplore.ieee.org
Thin, reflective objects such as forks and whisks are common in our daily lives, but they are
particularly chal-lenging for robot perception because it is hard to reconstruct them using …

Secrets of event-based optical flow

S Shiba, Y Aoki, G Gallego - European Conference on Computer Vision, 2022 - Springer
Event cameras respond to scene dynamics and offer advantages to estimate motion.
Following recent image-based deep-learning achievements, optical flow estimation methods …

img2pose: Face alignment and detection via 6dof, face pose estimation

V Albiero, X Chen, X Yin, G Pang… - Proceedings of the …, 2021 - openaccess.thecvf.com
We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …

3D skeleton-based human action classification: A survey

LL Presti, M La Cascia - Pattern Recognition, 2016 - Elsevier
In recent years, there has been a proliferation of works on human action classification from
depth sequences. These works generally present methods and/or feature representations …

Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization

S Shiba, Y Klose, Y Aoki… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Event cameras respond to scene dynamics and provide signals naturally suitable for motion
estimation with advantages, such as high dynamic range. The emerging field of event-based …

[BOEK][B] Computer vision: algorithms and applications

R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

[BOEK][B] Learning OpenCV: Computer vision with the OpenCV library

G Bradski, A Kaehler - 2008 - books.google.com
" This library is useful for practitioners, and is an excellent tool for those entering the field: it
is a set of computer vision algorithms that work as advertised."-William T. Freeman …

Vision-based target detection and localization via a team of cooperative UAV and UGVs

S Minaeian, J Liu, YJ Son - IEEE Transactions on systems, man …, 2015 - ieeexplore.ieee.org
Unmanned vehicles (UVs) play a key role in autonomous surveillance scenarios. A major
task needed by these UVs in undertaking autonomous patrol missions is to detect the targets …