Results 61 to 70 of about 2,931,986 (242)

Online learning and partitioning of linear displacement predictors for tracking [PDF]

, 2008
A novel approach to learning and tracking arbitrary image features is presented. Tracking is tackled by learning the mapping from image inten-sity differences to displacements. Linear regression is used, resulting in low computational cost. An appearance
Matas, J, L. Ellis, J.G. Matas, Ellis, L, Bowden, R, Liam Ellis, R. Bowden, Richard Bowden, Jiri Matas   +8 more
core   +1 more source

Mechatronics and machine vision 2005

, 2005
Proceedings of the 12th Annual Conference on Mechatronics and Machine Vision in Practice, Manila, Philippines, 29 Nov - 1 Dec ...

core   +1 more source

Enhanced Deep Learning for Robust Stress Classification in Sows from Facial Images

Agriculture
Stress in pigs poses significant challenges to animal welfare and productivity in modern pig farming, contributing to increased antimicrobial use and the rise of antimicrobial resistance (AMR).
Syed U. Yunas, Ajmal Shahbaz, Emma M. Baxter, Mark F. Hansen, Melvyn L. Smith, Lyndon N. Smith   +5 more
doaj   +1 more source

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

Advanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

More machine vision applications in the NCEA [PDF]

, 2008
In the early nineties, the research team at the National Centre for Engineering in Agriculture established a reputation for vision-based automated guidance of agricultural vehicles. This work has a new lease of life with recent funding.
Billingsley, John
core   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN) [PDF]

, 2019
Face biometric systems are vulnerable to spoofing attacks because of criminals who are developing different techniques such as print attack, replay attack, 3D mask attack, etc. to easily fool the face recognition systems. To improve the security measures
Holmberg, Tuomas, Muhammad, Usman, Carneiro de Melo, Wheidima, Hadid, Abdenour   +3 more
core   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

MalariaNet: A Microcontroller-Deployable Malaria-Microscopy Detector for Point-of-Care Biosensing Under Leakage-Free Evaluation

Biosensors
Compact malaria detectors for microcontrollers are almost always benchmarked on the NIH Malaria dataset with a per-cell random split. This leaks slide identity because the cells come from only about 200 slides and a random split mixes same-slide cells ...
Mengdi Hou, Gaoming He, Zongchang Liu, Jianbo Huang, Heliang Zou   +4 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source