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A polyhedron representation for computer vision

Bruce G. Baumgart • AFIPS National Computer Conference (NCC) (1975)

My approach to computer vision is best characterized as inverse computer graphics. In computer graphics, the world is represented in sufficient detail so that the image forming process can be numerically simulated to generate synthetic tele...

OPENALEX DOI: https://doi.org/10.1145/1499949.1500071

Crowd Analysis Using Computer Vision Techniques

Julio C. S. Jacques, Soraia Raupp Musse, Cláudio R. Jung • IEEE Signal Processing Magazine (2010)

This article presents a survey on crowd analysis using computer vision techniques, covering different aspects such as people tracking, crowd density estimation, event detection, validation, and simulation. It also reports how related the ar...

OPENALEX Open Access DOI: https://doi.org/10.1109/msp.2010.937394

Attention mechanisms in computer vision: A survey

Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, Zheng-Ning Liu et al. • Computational Visual Media (2022)

Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s41095-022-0271-y

Resource-Aware Scene Text Recognition Using Learned Features, Quantization, and Contour-Based Character Extraction

Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access (2023)

Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3283931

Intelligent Algorithm for Rock Core RQD Based on Object Detection and Image Segmentation to Suppress Noise and Vibration

Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering (2024)

In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...

DOAJ Open Access (DOAJ) DOI: 10.1155/2024/3599911

Computer Vision and Image Processing

Manas Kamal Bhuyan • CRC Press eBooks (2019)

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image form...

OPENALEX DOI: https://doi.org/10.1201/9781351248396

Computer Vision and Image Processing: A Paper Review

Victor Wiley, Thomas Lucas • International Journal of Artificial Intelligence Research (2018)

Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracte...

OPENALEX cc-by-sa DOI: https://doi.org/10.29099/ijair.v2i1.42

A computer vision for animal ecology

Ben G. Weinstein • Journal of Animal Ecology (2017)

A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in t...

OPENALEX Open Access DOI: https://doi.org/10.1111/1365-2656.12780

Computer vision and machine‐learning techniques for quantification and predictive modeling of intracellular anticancer drug delivery by nanocarriers

Sanjay Goswami, Kshama D. Dhobale, Ravindra D. Wavhale, Barnali Goswami et al. • Applied AI Letters (2022)

Abstract The field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analyzing intracellular anticancer drug release by the nanocarriers due to the la...

DOAJ Open Access (DOAJ) DOI: 10.1002/ail2.50

Algoritms for determining the attitude position of an unmanned aerial vehicle relative to the landing platform by using computer vision

T. Yu. Gainutdinova, S. V. Novikova, V. G. Gainutdinov, M. V. Trusfus et al. • Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение (2023)

Algorithms for determining the attitude position of an aircraft or helicopter-type unmanned aerial vehicle relative to the landing platform with special optical marks are considered. An assessment is made of the possibility of calculating t...

DOAJ Open Access (DOAJ) DOI: 10.18287/2541-7533-2023-22-4-37-51

Euclid Quick Data Release (Q1)

Bazzanini L., Angora G., Bergamini P., Meneghetti M. et al. • Astronomy & Astrophysics (2026)

Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL events in wide-field surveys such as Euclid requires robust a...

DOAJ Open Access (DOAJ) DOI: 10.1051/0004-6361/202557590

Enhanced gradient learning for deep neural networks

Ming Yan, Jianxi Yang, Cen Chen, Joey Tianyi Zhou et al. • IET Image Processing (2022)

Abstract Deep neural networks have achieved great success in both computer vision and natural language processing tasks. How to improve the gradient flows is crucial in training very deep neural networks. To address this challenge, a gradie...

DOAJ Open Access (DOAJ) DOI: 10.1049/ipr2.12353

Non-Destructive Monitoring of External Quality of Date Palm Fruit (<i>Phoenix dactylifera</i> L.) During Frozen Storage Using Digital Camera and Flatbed Scanner

Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski • Sensors (2024)

The emergence of new technologies focusing on “computer vision” has contributed significantly to the assessment of fruit quality. In this study, an innovative approach based on image analysis was used to assess the external quality of fresh...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24237560

Computer vision technology in agricultural automation —A review

Hongkun Tian, Tianhai Wang, Yadong Liu, Xi Qiao et al. • Information Processing in Agriculture (2019)

Computer vision is a field that involves making a machine “see”. This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image processing. With the development of computer visio...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.inpa.2019.09.006