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ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has ...

Consistency of image edge filtering is of prime importance for 3D interpretation of image sequences using feature tracking algorithms. To cater for image regions containing texture and isolated features, a combined corne...

Subjects / keywords: computer vision, medical imaging, image and video processing, video segmentation and analysis, computer graphics and visualization, pattern recognition; Technology: Electrical engineering. Electronics. Nuclear engineerin...

Manual cocoa bean inspection is subjective and prone to error, significantly impacting chocolate production. This study presents an automated, high-throughput cocoa bean grading system leveraging YOLOv10, YOLOv11, and Vi...

Subjects / keywords: Binocular vision; Binocular vision disorders; Computer vision; Electronic books

La línea de investigación y desarrollo presentada consiste en estudiar, desarrollar y evaluar métodos y algoritmos de sistemas de visión por computador así como también de informática gráfica. Los principales tem...

Subjects / keywords: Visualization; Computer graphics (images); Software; Computer science; Computer vision; Artificial intelligence; Volume rendering; Data visualization; Rendering (computer graphics); Image processing; Volume (thermodynami...

Subjects / keywords: Representation (politics); Computer science; Information processing; Artificial intelligence; Human visual system model; Computer vision; Visual processing; Human–computer interaction; Cognitive science; Image (mathema...

Camera calibration is an important task for machine vision, whose goal is to obtain the internal and external parameters of each camera. With these parameters, the 3D positions of a scene point, which is identified and m...

Vision based applications are present anywhere. A special market is industry, allowing to improve product quality and to reduce manufacturing costs. The vision systems applied to industries are known as machine vision sy...

A new technique for three-dimensional (3D) camera calibration for machine vision metrology using off-the-shelf TV cameras and lenses is described. The two-stage technique is aimed at efficient computation of camera exter...

Subjects / keywords: Computer science; Artificial intelligence; Ground truth; Taxonomy (biology); Software; Matching (statistics); Set (abstract data type); Frame (networking); Computer vision; Stereopsis; Data mining; Mathematics

Subjects / keywords: Clutter; Robustness (evolution); Computer science; Artificial intelligence; Active appearance model; Computer vision; Active shape model; Active contour model; Training set; Set (abstract data type); Image (mathematics);...

Subjects / keywords: Search engine indexing; Computer science; Histogram; Artificial intelligence; Intersection (aeronautics); Computer vision; Focus (optics); Object (grammar); Robot; Color histogram; Pattern recognition (psychology); Image...

Subjects / keywords: Artificial intelligence; Pattern recognition (psychology); Clutter; Affine transformation; Computer science; Cognitive neuroscience of visual object recognition; Computer vision; Invariant (physics); Hough transform; 3D ...

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulat...

Subjects / keywords: Artificial intelligence; Computer science; Face detection; AdaBoost; Pattern recognition (psychology); Object-class detection; Classifier (UML); Computer vision; Detector; Face (sociological concept); Facial recognition ...

Subjects / keywords: Artificial intelligence; Computer vision; Active contour model; Computer science; Constraint (computer-aided design); Tracking (education); Spline (mechanical); Feature matching; Matching (statistics); Feature (linguisti...

Subjects / keywords: Artificial intelligence; Robustness (evolution); Computer science; Detector; Hessian matrix; Computer vision; Pattern recognition (psychology); Feature matching; Mathematics; Image (mathematics); Applied mathematics; Gen...

Se describe una aplicación para la detección de fallos en el ensamblado de muelles (resortes), utilizando la transformada polar discreta. La aplicación utiliza algoritmos de visión por ordenador. La velocidad de oper...

Cuando se crea una imagen para comunicar una idea, se está utilizando un lenguaje visual. Podemos “visualizar” nuestro pensamiento de la misma manera en que lo verbalizamos. Un diagrama, un mapa, una pintura son eje...

En numerosas aplicaciones se debe seguir la trayectoria de una entidad, característica u objeto sobre una secuencia de imágenes. Cuando el procesamiento debe realizarse en tiempo real, trae aparejadas importantes restr...

La visión artificial por reconocimiento de patrones es un concepto que permite dar visión de mayor calidad, ver en tiempo real y seguir objetos. Dependiendo de su posición, orientación o tamaño, un objeto puede gene...

Convolutional neural networks (CNNs) are inherently limited to model geometric transformations due to the fixed geometric structures in their building modules. In this work, we introduce two new modules to enhance the tr...