Conventional cameras obscure the scene that is being recorded. Here, we place an image sensor (with no lens) on the edge of a transparent window and form images of the object seen through that window. This is enabled first, by the collection of scattered light by the image sensor, and second, by the solution of an inverse problem that represents the light scattering process. Thereby, we were able to form simple images, and demonstrate a spatial resolution of about 0.1 line-pairs/mm at an object distance of 150mm with depth-of-focus of at least 10mm. We further show imaging of two types of objects: an LED array and a conventional LCD screen. Finally, we also demonstrate color and video imaging.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/OE.26.022826 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Fusion of Visible and Infrared Aerial Images from Uncalibrated Sensors Using Wavelet Decomposition and Deep Learning.
Sensors (Basel)
December 2024
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA.
Multi-modal systems extract information about the environment using specialized sensors that are optimized based on the wavelength of the phenomenology and material interactions. To maximize the entropy, complementary systems operating in regions of non-overlapping wavelengths are optimal. VIS-IR (Visible-Infrared) systems have been at the forefront of multi-modal fusion research and are used extensively to represent information in all-day all-weather applications.
View Article and Find Full Text PDFMaterial Visual Perception and Discharging Robot Control for Baijiu Fermented Grains in Underground Tank.
Sensors (Basel)
December 2024
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China.
Addressing the issue of excessive manual intervention in discharging fermented grains from underground tanks in traditional brewing technology, this paper proposes an intelligent grains-out strategy based on a multi-degree-of-freedom hybrid robot. The robot's structure and control system are introduced, along with analyses of kinematics solutions for its parallel components and end-effector speeds. According to its structural characteristics and working conditions, a visual-perception-based motion control method of discharging fermented grains is determined.
View Article and Find Full Text PDFOptimizing Correction Factors on Color Differences for Automotive Painting Services.
Sensors (Basel)
December 2024
Department of Management and Industrial Engineering, University of Petrosani, 332003 Petrosani, Romania.
Currently, the automotive sector is showing increased demands regarding the color of cars in general, but especially the quality and the time of painting, in particular. Companies working in this industry, especially in specialized painting services, must perform work of impeccable quality in the shortest possible time in order to be efficient. Color differences that appear in different areas of the car result from the use of different formulas for obtaining color.
View Article and Find Full Text PDFProbabilistic Attention Map: A Probabilistic Attention Mechanism for Convolutional Neural Networks.
Sensors (Basel)
December 2024
NUS-ISS, National University of Singapore, Singapore 119615, Singapore.
The attention mechanism is essential to (CNN) vision backbones used for sensing and imaging systems. Conventional attention modules are designed heuristically, relying heavily on empirical tuning. To tackle the challenge of designing attention mechanisms, this paper proposes a novel probabilistic attention mechanism.
View Article and Find Full Text PDFHKAN: A Hybrid Kolmogorov-Arnold Network for Robust Fabric Defect Segmentation.
Sensors (Basel)
December 2024
School of Computer and Artificial Intelligence, Wuhan Textile Unversity, Wuhan 430200, China.
Currently, fabric defect detection methods predominantly rely on CNN models. However, due to the inherent limitations of CNNs, such models struggle to capture long-distance dependencies in images and fail to accurately detect complex defect features. While Transformers excel at modeling long-range dependencies, their quadratic computational complexity poses significant challenges.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!