A fast and accurate approach for computing the dimensions of boxes from single perspective images

Fernandes, Leandro A. F.; Oliveira, Manuel M.; Silva, Roberto da; Crespo, Gustavo J.

doi:10.1007/bf03192392

Cited by 10 publications

(2 citation statements)

References 18 publications

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“…They have many advantages, such as non-contact, high-precision, rapid, and automated measurements [10,11,12,13]. Fernandes et al [14] presented an approach that is based on projective geometry; they computed the box dimensions by using data that were extracted from the box silhouette and the projection of two parallel laser beams on one of the imaged faces of the box. Wang et al [15] proposed a handheld 3D laser scanning system that consists of a binocular stereovision and line laser projector for measuring large-sized objects on site.…”

Section: Introductionmentioning

confidence: 99%

Portable System for Box Volume Measurement Based on Line-Structured Light Vision and Deep Learning

Peng

Zhang

Song

et al. 2019

Sensors

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Portable box volume measurement has always been a popular issue in the intelligent logistic industry. This work presents a portable system for box volume measurement that is based on line-structured light vision and deep learning. This system consists of a novel 2 × 2 laser line grid projector, a sensor, and software modules, with which only two laser-modulated images of boxes are required for volume measurement. For laser-modulated images, a novel end-to-end deep learning model is proposed by using an improved holistically nested edge detection network to extract edges. Furthermore, an automatic one-step calibration method for the line-structured light projector is designed for fast calibration. The experimental results show that the measuring range of our proposed system is 100–1800 mm, with errors less than ±5.0 mm. Theoretical analysis indicates that within the measuring range of the system, the measurement uncertainty of the measuring device is ±0.52 mm to ±4.0 mm, which is consistent with the experimental results. The device size is 140 mm × 35 mm × 35 mm and the weight is 110 g, thus the system is suitable for portable automatic box volume measurement.

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Section: Introductionmentioning

confidence: 99%

Portable System for Box Volume Measurement Based on Line-Structured Light Vision and Deep Learning

Peng

Zhang

Song

et al. 2019

Sensors

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“…Dada su aplicación a diversos problemas industriales, como la determinación de grosor de vidrio, (Park et al, 2011), el contorno de especímenes a alta temperatura, (Fabijanska et al, 2009a), dimensión de cajas, (Fernandes et al, 2006), posición de líneas en video de canchas de deportes, (Nguyen et al, 2012), (Reid et al, 1996), entre otros, la obtención de la información de posición de curvas en una imagen a nivel sub-píxel resulta de gran interés en sí misma.…”

Section: Introductionunclassified

Interfaz visual para un Autocolimador Nikon 6D mediante procesamiento de imágenes con precisión sub-píxel: un caso de estudio

Schürrer

Flesia

Bergues

et al. 2014

Revista Iberoamericana de Automática e Informática Industrial R

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Este documento tiene el objetivo de describir el potencial de una interfaz visual básica en un Autocolimador del tipo Nikon 6B/6D, para reemplazar al operario en una medición de calidad metrológica. La interfaz visual implementada consta de una cámara con sensor CMOS adosada al ocular del autocolimador, partes posicionales, y un sistema de procesamiento digital de imágenes propio, escrito en lenguaje Matlab R , que analiza la imagen de la retícula para detectar la escala y la cruz de medición a nivel sub-píxel. Mediante un experimento controlado, realizado con un nivel electrónico trazable internacionalmente, se obtuvieron, con este sistema,ángulos de cabeceo (α y) con una resolución tres veces mejor que la del instrumento sin interfaz. Este ejemplo sugiere que el valor de 0.06 píxeles para la incertidumbre asociada con la posición sub-píxel de las diferentes líneas que conforman la retícula de medición es realista, y permite seguir trabajando en una interfaz robusta para todos los parámetros angulares posibles de ser medidos por el autocolimador.

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Wall Size Prediction from 2D Images with the Help of Reference Objects

Kul

Sayar

2022

Innovations in Smart Cities Applications Volume 5

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A fast and accurate approach for computing the dimensions of boxes from single perspective images

Abstract: Abstract

Cited by 10 publications

References 18 publications

Portable System for Box Volume Measurement Based on Line-Structured Light Vision and Deep Learning

Portable System for Box Volume Measurement Based on Line-Structured Light Vision and Deep Learning

Interfaz visual para un Autocolimador Nikon 6D mediante procesamiento de imágenes con precisión sub-píxel: un caso de estudio

Wall Size Prediction from 2D Images with the Help of Reference Objects

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