Results 181 to 190 of about 1,365,020 (307)
Denoising Multi‐Color QR Codes and Stiefel‐Valued Data by Relaxed Regularizations
ABSTRACT The handling of manifold‐valued data, for instance, plays a central role in color restoration tasks relying on circle‐ or sphere‐valued color models, in the study of rotational or directional information related to the special orthogonal group, and in Gaussian image processing, where the pixel statistics are interpreted as values on the ...
Robert Beinert, Jonas Bresch
wiley +1 more source
A machine learning study highlighting the challenges of fidgety movement recognition using vision and inertial sensors. [PDF]
Lentzsch F +13 more
europepmc +1 more source
Detecting and tracking objects in RGB-D video
Detecting and tracking objects in videos and images is a rapidly growing field of research. Identifying, recognising, detecting and tracking objects such as humans, cars, obstacles etc. has many applications. There are a large number of methods to perform these tasks.
openaire +1 more source
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang +4 more
wiley +1 more source
Video-rate tunable colour electronic paper with human resolution. [PDF]
Santosa ASS +5 more
europepmc +1 more source
ABSTRACT This paper presents the development and validation of a scalable platooning system based on the predecessor‐following (PF) topology, designed for low‐cost follower platforms. It integrates key technologies such as localization, path planning, profile generation, and low‐level control to create a practical solution.
Dongwoo Seo, Jinhee Lee, Jaeyoung Kang
wiley +1 more source
Fine-grained temporal-spatial cues for theft recognition in surveillance videos. [PDF]
Ansari MA +6 more
europepmc +1 more source
Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi +3 more
wiley +1 more source
Vision-Based People Counting and Tracking for Urban Environments. [PDF]
Nurseitov D +5 more
europepmc +1 more source
Post mortem MRI was combined with neuropathological assessments at 600 μm intervals throughout the brain. Through this approach, a three dimensional account of an entire human brain with an intermediate Alzheimer's disease neuropathologic change was created.
Anneke Alkemade +13 more
wiley +1 more source

