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Image sensors hold a pivotal role in society due to their ability to capture vast amounts of information. Traditionally, image sensors are opaque due to light absorption in both the pixels and the read-out electronics that are stacked on…

Measuring perceptual color differences (CDs) is of great importance in modern smartphone photography. Despite the long history, most CD measures have been constrained by psychophysical data of homogeneous color patches or a limited number…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Zhihua Wang , Keshuo Xu , Yang Yang , Jianlei Dong , Shuhang Gu , Lihao Xu , Yuming Fang , Kede Ma

Photopolymerization enables the production of micro-optical elements, such as diffractive optical elements or GRIN optics. This process utilizes targeted spatial modulation of the refractive index, which is achieved through additive…

Optics · Physics 2026-03-16 Andreas Heinrich , Manuel Rank

Using polarization measurements in remote sensing and optical studies allows retrieving more information. We consider relationship between the reflection coefficients of plane and rough surfaces for linearly polarized waves. Certain…

Optics · Physics 2012-12-14 Yu. K. Shestopaloff

Although the observation of optical spectra is common practice in physics classes, students are usually limited to a passive, qualitative observation of nice colours. This article discusses a diffraction-based spectrometer that allows…

Physics Education · Physics 2012-04-30 Robert Fischer

A smartphone, with its integrated sensors and cpu, can aid experiments in many different areas of Physics. We show how the resonant frequencies of a pipe can be measured using a smartphone and a Bic pen.

Physics Education · Physics 2014-01-13 Lorenzo Galante , Anna Maria Lombardi

Pupil reflex to variations in illumination and associated dynamics are of importance in neurology and ophthalmology. This is typically measured using a near Infrared (IR) pupillometer to avoid Purkinje reflections that appear when strong…

Image and Video Processing · Electrical Eng. & Systems 2023-08-21 Abhijeet Phatak , Aditya Chandra Mandal , Janarthanam Jothi Balaji , Vasudevan Lakshminarayanan

This paper describes a prototype software and hardware platform to provide support to field operators during the inspection of surface defects of non-metallic pipes. Inspection is carried out by video filming defects created on the same…

Machine Learning · Computer Science 2022-12-12 Fabio Cacciatori , Sergei Nikolaev , Dmitrii Grigorev

Light-absorbing materials are widely used, and their optical properties are an important factor. Snell's law does not hold in materials that partially absorb light. Hence, the optical path in refraction is calculated from Maxwell's law. We…

Optics · Physics 2023-01-04 Shosuke Sasaki

In this paper, we have proposed a simple method of measuring the density of a solid material. We have utilized the pressure sensor of a smartphone as a pressure-measuring device. By measuring the values of pressure when a solid object is in…

Physics Education · Physics 2026-05-12 Sanjoy Kumar Pal , Soumen Sarkar , Pradipta Panchadhyayee

Two approaches (micro- and macro- investigations) are used to determine the dimension dependences of the optical parameters of the nanometer-scale layers of materials. It is shown that both an index of refraction and coefficient of…

Materials Science · Physics 2016-10-13 T. A. Kudykina , A. I. Pervak

Several devices for substrate texture detection based on diffractive optics, for paper, textiles and non-wovens have been proposed in the past for direct inspection during the production processes. In spite of the presence of devices…

Popular Physics · Physics 2008-01-21 Amelia Sparavigna , Rory A. Wolf

We introduce a novel method for using reflectance to identify materials. Reflectance offers a unique signature of the material but is challenging to measure and use for recognizing materials due to its high-dimensionality. In this work,…

Computer Vision and Pattern Recognition · Computer Science 2015-02-10 Hang Zhang , Kristin Dana , Ko Nishino

In addition to the optical aberrations, the magnitude of the optical cells of detectors is one of the most important parameters, which restricts the resolution of detectors. Adaptive optic and the methods of reducing the aberrations are…

Optics · Physics 2007-05-23 S. Khademi , A. Darudi , M. Shahsavari

Traditional liquid identification instruments are often unavailable to the general public. This paper shows the feasibility of identifying unknown liquids with commercial lightweight devices, such as a smartphone. The key insight is that…

Signal Processing · Electrical Eng. & Systems 2026-04-01 Yongzhi Huang

Eliminating reflections caused by incident light interacting with reflective medium remains an ill-posed problem in the image restoration area. The primary challenge arises from the overlapping of reflection and transmission components in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Pengbo Guo , Chengxu Liu , Guoshuai Zhao , Xingsong Hou , Jialie Shen , Xueming Qian

With the development of terahertz time-domain spectroscopy, methods have been proposed to precisely estimate the thickness, refractive index, and attenuation coefficient of a sample. In this article, we propose a new method to compute these…

Smartphone is a powerful internet connected computer packed with internal sensors that measure sound, light, acceleration and magnetic field strength. Physics teachers can use them as measurement devices to demonstrate science concepts and…

Physics Education · Physics 2020-07-27 Tze Kwang Leong , Loo Kang Wee , Felix J. Garcia Clemente , Francisco Esquembre

Conventional approaches to image de-fencing have limited themselves to using only image data in adjacent frames of the captured video of an approximately static scene. In this work, we present a method to harness disparity using a stereo…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Sankaraganesh Jonna , Sukla Satapathy , Rajiv R. Sahay

Video analysis tasks rely heavily on identifying the pixels from different frames that correspond to the same visual target. To tackle this problem, recent studies have advocated feature learning methods that aim to learn distinctive…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Rui Li , Shenglong Zhou , Dong Liu