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Proximal remote sensing buggies and potential applications for field-based phenoty**
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 …
fast and accurate crop phenoty** methods. Such crop phenoty** methods are required …
3D face recognition: Two decades of progress and prospects
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 …
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
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 …
particularly chal-lenging for robot perception because it is hard to reconstruct them using …
Secrets of event-based optical flow
Event cameras respond to scene dynamics and offer advantages to estimate motion.
Following recent image-based deep-learning achievements, optical flow estimation methods …
Following recent image-based deep-learning achievements, optical flow estimation methods …
img2pose: Face alignment and detection via 6dof, face pose estimation
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 …
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
3D skeleton-based human action classification: A survey
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 …
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
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 …
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 …
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 …
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
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 …
task needed by these UVs in undertaking autonomous patrol missions is to detect the targets …