Titlebook: Image Analysis and Processing – ICIAP 2023; 22nd International C Gian Luca Foresti,Andrea Fusiello,Edwin Hancock Conference proceedings 202

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,VM-NeRF: Tackling Sparsity in?NeRF with?View Morphing,on of NeRF methods is their reliance on data: the fewer the viewpoints, the higher the likelihood of overfitting. This paper addresses this issue by introducing a novel method to generate geometrically consistent image transitions between viewpoints using View Morphing. Our VM-NeRF approach requires

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,MOVING: A MOdular and?Flexible Platform for?Embodied VIsual NaviGation, flexible sensor configuration consisting of an RGB-D camera, a tracking camera for odometry, and a 2D Lidar, along with a compact processing unit that is equipped with a GPU for running deep learning models. The software is based on ROS, utilizing the RGB-D RTAB-Map SLAM system for mapping and loca

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,Evaluation of?3D Reconstruction Pipelines Under Varying Imaging Conditions,isition setups. The images have been rendered from 3D scenes with varying camera positions, lights, camera depth of field, and motion blur. Images depict one of five objects each acquired using eight different acquisition setups (scenes). 100 images have been rendered from each scene. The dataset is

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,: A Synthetic Benchmark for?Radiance Field Evaluation on?Vehicle Components,cenes derived from sets of images. Despite their efficiency, NeRF models can pose challenges in certain scenarios such as vehicle inspection, where the lack of sufficient data or the presence of challenging elements (.?reflections) strongly impact the accuracy of the reconstruction. To this aim, we

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,HMPD: A Novel Dataset for?Microplastics Classification with?Digital Holography, phenomenon pushed the scientific community to develop ever better methodologies for the detection and the identification of synthetic microfibers dispersed in water involving, mainly because of the microscopic nature of the elements under analysis, a wide range of competencies ranging from instrume

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