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Multiple View Geometry in Computer Vision

Richard I. Hartley, Andrew Zisserman • Cambridge University Press eBooks (2004)

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geome...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511811685

DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access (2023)

LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3298706

AnimalTA: A highly flexible and easy‐to‐use program for tracking and analysing animal movement in different environments

Violette Chiara, Sin‐Yeon Kim • Methods in Ecology and Evolution (2023)

Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fu...

DOAJ Open Access (DOAJ) DOI: 10.1111/2041-210X.14115

Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once

Jinxin Chen, Luo Liu, Peng Li, Wen Yao et al. • Agriculture (2025)

The resting postures of piglets are crucial indicators for assessing their health status and environmental comfort. This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture15030230

Computer vision for interactive computer graphics

William T. Freeman, David Anderson, Paul A. Beardsley, C.N. Dodge et al. • IEEE Computer Graphics and Applications (1998)

Vision can be a powerful interface device for computers because of its potential for sensing body position, head orientation, direction of gaze, pointing commands, and gestures. Such unencumbered interaction can make computers easier to use...

OPENALEX DOI: https://doi.org/10.1109/38.674971

Structured Learning and Prediction in Computer Vision

Sebastian Nowozin, Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision (2011)

Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. This mo...

OPENALEX DOI: https://doi.org/10.1561/0600000033

Machine Learning in Computer Vision

Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science (2020)

During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.procs.2020.03.355

Computer Vision Analysis of Intraoperative Video

Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery (2019)

OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000003460 PMC: 7216040

Computer Vision

Yiannis Aloimonos, Azriel Rosenfeld • Science (1991)

The field of computer vision is devoted to discovering algorithms, data representations, and computer architectures that embody the principles underlying visual capabilities. This article describes how the field of computer (and robot) visi...

OPENALEX DOI: https://doi.org/10.1126/science.1891713

Machine eye for defects: Machine learning-based solution to identify and characterize topological defects in textured images of nematic materials

Haijie Ren, Weiqiang Wang, Wentao Tang, Rui Zhang • Physical Review Research (2024)

Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.6.013259

Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration

Alireza Haji Fathaliyan, Xiaoyu Wang, Veronica J. Santos • Frontiers in Robotics and AI (2018)

Human–robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze trac...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2018.00025

Hybrid Deep Learning Algorithms for Dog Breed Identification—A Comparative Analysis

B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy et al. • IEEE Access (2023)

Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determi...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3297440

SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images

Long Zhang, Chuang Zhu, YueWei Wu, Yang Yang et al. • IET Image Processing (2021)

Abstract Ischemic stroke is the most common stroke and the leading cause of disability and death in the world. Computed tomography (CT) is a popular and economical diagnostic device for the stroke, However the ischemic stroke lesions are no...

DOAJ Open Access (DOAJ) DOI: 10.1049/ipr2.12267

Computer Vision

Ahmed Banafa • River Publishers eBooks (2024)

Computer vision is a field of study that enables computers to interpret and understand visual data from the world around us. This field has seen significant advancements in recent years, thanks to the increasing availability of large datase...

OPENALEX DOI: https://doi.org/10.1201/9781032669182-5

Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction

Shuoye Chen, Rei Shiina, Kazushi Nakai, Tatsuya Awano et al. • Journal of Wood Science (2023)

Abstract To predict the mechanical properties of wood in the transverse direction, this study used machine learning to extract the anatomical features of wood from cross-sectional stereograms. Specimens with different orientations of the ra...

DOAJ Open Access (DOAJ) DOI: 10.1186/s10086-023-02096-z