The proceedings contain 143 papers. The topics discussed include: accelerated laminographic image reconstruction using GPUs;high-performance data loader for large-scale data processing;neural network based analysis of...
The proceedings contain 143 papers. The topics discussed include: accelerated laminographic image reconstruction using GPUs;high-performance data loader for large-scale data processing;neural network based analysis of polychromatic PSFs for wavelength-specific extraction;supervised reconstruction for silhouette tomography;color calibration for multicolored barcodes using smartphones;driver monitoring system using deep learning techniques;light analysis of paintings at scale using spherical harmonics;towards artist recognition based on material rendering. a case study for recognition of Rembrandt and Van Dyck;extending lidar depth range using stereo estimation on intensity data;breast ultrasound report generation using LangChain;Computational Estimation of Head Pose and Gender Through Large Corpora of Fine-art Portraits;Detection of Multiple fluorescent dyes using liquid crystal variable retarder and sparse modeling;automated tools for cloud security testing;and luminance and color accuracy of prosumer and mobile phone cameras for high dynamic range imaging in cultural heritage documentation.
The proceedings contain 174 papers. The topics discussed include: appearance segmentation and documentation applied to cultural heritage surfaces;end-to-end evaluation of practical video analytics systems for face det...
The proceedings contain 174 papers. The topics discussed include: appearance segmentation and documentation applied to cultural heritage surfaces;end-to-end evaluation of practical video analytics systems for face detection and recognition;testing the role of vision spatial processing in color deficiency;a lightweight exposure bracketing strategy for HDR imaging without access to camera raw;style transfer for improved visualization of underdrawings and ghost paintings: an application to a work by Vincent van Gogh;tangible extended reality with sensor fusion;orca: an end-to-end video object removal framework with cropping interested region and quality assessment;simulation and design of a burst mode 20mfps global shutter high conversion gain CMOS image sensor in a standard 180nm CMOS image sensor process using sequential transfer gates;3D joist perception, detection, and climbing for hexapod robot;synthetic speech attribution using self-supervised audio spectrogram transformer;incidence of stereo blindness in a recent VR distance perception user study;mesh distance for dimension reduction and visualization of numerical simulation data;and teaching color science to EECS students using interactive tutorials: tools and lessons.
The proceedings contain 154 papers. The topics discussed include: feature-driven 3d range geometry compression via spatially-aware depth encoding;open source deep learning inference libraries for autonomous driving sy...
The proceedings contain 154 papers. The topics discussed include: feature-driven 3d range geometry compression via spatially-aware depth encoding;open source deep learning inference libraries for autonomous driving systems;problems in image target-based color correction;improvement of aerial image by simulations;recognition-aware learned image compression;artist-specific style transfer for semantic segmentation of paintings: the value of large corpora of surrogate artworks;data visualization of crime data using immersive virtual reality;a comparison of non-experts and experts using DSIS method;contrast enhancement: cross-modal learning approach for medical images;a continuous bitstream-based blind video quality assessment using multi-layer perceptron;correspondences for image and video reconstruction;design and analysis on low-power and low-noise single slope ADC for digital pixel sensors;incremental two-network approach to develop a purity analyzer system for canola seeds;advantage of machine learning over maximum likelihood in limited-angle low-photon x-ray tomography;image montage detection based on image segmentation and robust hashing techniques;chatbot integrated with machine learning deployed in the cloud and performance evaluation;and the relationship between vision and simulated remote vision system air refueling performance.
The proceedings contain 221 papers. The topics discussed include: generative design for creators – the impact of data driven visualization and processing in the field of creative business;characteristic features of t...
The proceedings contain 221 papers. The topics discussed include: generative design for creators – the impact of data driven visualization and processing in the field of creative business;characteristic features of the kernel-level rootkit for learning-based detection model training;integration of NLP and speech-to-text applications with chatbots;IoT-based real-time monitoring system for a smart energy house;airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms;design of professional laboratory exercises for effective state-of-the-art OSINT investigation tools - part 1: RiskIQ passive-total;deep quality evaluator guided by 3D saliency for stereoscopic images;controllable medical image generation via generative adversarial networks;neurocomputational model explains spatial variations in perceived lightness induced by luminance edges in the image;and deep learning approaches to determining optimal resolution for scanned text documents.
In this work, the most relevant 3D LiDAR technologies and their applications in 2022 were investigated. For this purpose, applications of LiDAR systems were classified into the typical application areas "3D model...
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Incident Command Dashboards (ICDs) plays an essential role in Emergency Support Functions (ESFs). They are typically centralized and display a massive amount of live data. In this study, we explore a decentralized mob...
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How do we interact with the digital world in the future by only using our thoughts to interact? To interact with the digital world, we use gestures (most common: swipe gestures), our voice, facial expressions, and men...
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The present-day substantial growth in the demand and utilization of plastics provokes severe economic and environmental consequences. Around 4 - 6 % of global oil and gas production is used directly or indirectly as f...
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The present-day substantial growth in the demand and utilization of plastics provokes severe economic and environmental consequences. Around 4 - 6 % of global oil and gas production is used directly or indirectly as feedstock in the production of plastics. A further 2 - 3 % is employed as energy during the manufacturing process. This study highlights recycling (chemical) against other sustainable waste management approaches, like mitigation of waste generation through the concept of reusing and energy recovery from plastics. As an example, the African context regarding the quality of the disposed waste and the waste characteristics in the Kumasi region, Ghana is taken into consideration. To process valuable and economically viable recycling products, pure polymers are required. Certain technologies, such as infrared (IR) spectroscopy, have limitations for accurately identifying different polymer types, particularly when the sample mix is contaminated with organic waste or is physically wet. There are promising technologies that are under development, like Raman spectroscopy and laser-aided spectroscopy combined with tracers (fluorescent markers). Nonetheless, these are essentially more expensive technologies and are currently in the development phase. Multiplexed near-infrared (NIR) spectroscopy is a fitting technology for polymer identification. It is a fast and nondestructive technique that does not influence the physical state nor chemical property of the sample polymers. Hence, it can be integrated in a continuous sorting system. Here, a prototype sorting system equipped with a multiplexed NIR spectrometer was utilized and used to test the sorting efficiency of the system as well as the purity of identified and sorted samples. Samples of PE (with subgroups of HDPE, LDPE and LLDPE), PS, PET, PP and PVC and unknown polymers were employed in several conditions. The measurements were carried out in real time, based on the speed of the conveyor belt. In this study, a
The nine articles in this special section focus on the use of deep learning program for mobile sensing technologies and applications. Smart devices equipped with a rich set of sensors, such as smartphones and wearable...
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The nine articles in this special section focus on the use of deep learning program for mobile sensing technologies and applications. Smart devices equipped with a rich set of sensors, such as smartphones and wearables, are enabling an ever-increasing number of mobileapplications, ranging from user behavior perception such as gesture recognition and health monitoring to context inference such as driving detection and hazard warning. However, reliably inferring high-value user behavior and context information from noisy and highly heterogeneous sensor data using mobiledevices remains an open issue. To combat against the constraints of a mobile device, one conventional approach is to upload raw sensor data to the cloud and run complex inference algorithms remotely. This leads to inefficiency in terms of network overhead and large latency for mobileapplications. Recently, deep learning techniques have made significant breakthroughs in achieving state-of-art inference performance in a variety of applications such as computer vision and natural language processing. In general, data modeling challenges found in mobile sensing can often be seen in deep-learningbased inference.
This paper deals with the description of our new development of a mobile system for general practitioners and doctors' practices. It is Intended to simplify the complex and error-prone work process of a home visit...
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