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Computer Vision

Simon J. D. Prince • Cambridge University Press eBooks (2012)

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the worl...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511996504

Computer vision and pattern recognition

Nanning Zheng, George D. Loizou, Xiaoyi Jiang, Xuguang Lan et al. • International Journal of Computer Mathematics (2007)

This Special Issue of International Journal of Computer Mathematics (IJCM) offers a venue to present innovative approaches in computer vision and pattern recognition, which have been changing our e......

OPENALEX DOI: https://doi.org/10.1080/00207160701303912

Computer vision: algorithms and applications

Richard Szeliski • Choice Reviews Online (2011)

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 computer interpret an image at the same level as a two-year old ...

OPENALEX DOI: https://doi.org/10.5860/choice.48-5140

Computer Vision

George C. Stockman, Linda G. Shapiro (2001)

From the Publisher: Computer Vision presents the necessary theory and techniques for students and practitioners who will work in fields where significant information must be extracted automatically from images. It will be a useful resource...

OPENALEX

ALGORITMO PARA O RECONHECIMENTO DE CARACTERES MANUSCRITOS

Rafael Arthur Rocha Miranda, Francisco Assis da Silva, Mário Augusto Pazoti, Almir Olivette Artero et al. • Colloquium Exactarum (2013)

The handwritten character recognition in digital images is an important and challenging area of study in Computer Vision, with several possibilities for applications to facilitate the daily work of the people. This paper presents an alg...

DOAJ Open Access (DOAJ) DOI: 10.5747/ce.2013.v05.n2.e062

Vision-Based Novelty Detection Using Deep Features and Evolved Novelty Filters for Specific Robotic Exploration and Inspection Tasks

Marco Antonio Contreras-Cruz, Juan Pablo Ramirez-Paredes, Uriel Haile Hernandez-Belmonte, Victor Ayala-Ramirez • Sensors (2019)

One of the essential abilities in animals is to detect novelties within their environment. From the computational point of view, novelty detection consists of finding data that are different in some aspect to the known data. In robotics, re...

DOAJ Open Access (DOAJ) DOI: 10.3390/s19132965

Evaluating the ergonomic deficiencies in computer workstations and investigating their correlation with reported musculoskeletal disorders and visual symptoms among computer users in Bangladeshi university

Md Golam Kibria, Md Shohel Parvez, Palash Saha, Subrata Talapatra • Heliyon (2023)

Background: Nowadays, computer users are facing musculoskeletal disorders (MSDs) and visual symptoms. Prolonged sitting in inappropriate, awkward, and static postures on the computer workstation may cause musculoskeletal disorders (MSDs). S...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2023.e22179

Architectural Framework to Enhance Image-Based Vehicle Positioning for Advanced Functionalities

Iosif-Alin Beti, Paul-Corneliu Herghelegiu, Constantin-Florin Caruntu • Information (2024)

The growing number of vehicles on the roads has resulted in several challenges, including increased accident rates, fuel consumption, pollution, travel time, and driving stress. However, recent advancements in intelligent vehicle technologi...

DOAJ Open Access (DOAJ) DOI: 10.3390/info15060323

Artificial neural networks: a tutorial

A.K. Jain, Jianchang Mao, K.M. Mohiuddin • Computer (1996)

Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the arti...

OPENALEX DOI: https://doi.org/10.1109/2.485891