![]() In this work, we present a dynamic photometric stereo method for estimation of the surface normals in a dynamic scene. However, this method cannot be applied to dynamic scenes because it is assumed that the scene remains static while the required images are captured. The classical photometric stereo method requires at least three images to determine the normals in a given scene. The photometric stereo method enables estimation of surface normals from images that have been captured using different but known lighting directions. Yoda, Takuya Nagahara, Hajime Taniguchi, Rin-Ichiro Kagawa, Keiichiro Yasutomi, Keita Kawahito, Shoji The Dynamic Photometric Stereo Method Using a Multi-Tap CMOS Image Sensor. Also, surface visualization and roughness measurements are briefly discussed. The use of photometric techniques is demonstrated in at-line measurement of granules and on-line measurement during granulation and dry milling. The technique allows the reconstruction of three-dimensional images of objects using multiple light sources in illumination. The main focus of this paper is in the use of photometric stereo imaging. These approaches can often be advantageous especially for samples that are moist or cohesive, when dispersion of particles is difficult or sometimes impossible. The aim of this paper is to give an insight into photometric particle sizing approaches, which differ from the typical particle size measurement of dispersed particles. Photometric imaging in particle size measurement and surface visualization. Furthermore, images can give valuable insight into the behaviour of excipients or formulations during product development. Combined with complementary process analytical tools, photometric imaging opens up possibilities for improved real-time evaluation fluid bed granulation. The changes observed in the image data were also linked to the moisture and temperature profiles of the processes. Moreover, decreasing image brightness in the drying phase was found to indicate granule drying. The images provided direct real-time information on the growth, attrition and packing behaviour of the batches. Also key process parameters were recorded. ![]() Photometric images and NIR spectra were continuously captured on-line and particle size information was extracted from them. Five granule batches consisting of paracetamol and varying amounts of lactose and microcrystalline cellulose were manufactured with an instrumented fluid bed granulator. This paper introduces and discusses a photometric surface imaging approach for on-line monitoring of fluid bed granulation. Soppela, Ira Antikainen, Osmo Sandler, Niklas Yliruusi, Jouko On-line monitoring of fluid bed granulation by photometric imaging. The software also produces several metrics on the quality of the observations themselves, such as surface coverage and the The process is largely automated, which is crucial to the efficient production of data products during proximity operations. ![]() Our photometric modeling software fits image data to several conventional empirical photometric models and produces the best fit model parameters. ![]() This approach gives us the flexibility to create simulated images of Bennu based on analog surfaces from other small Solar System bodies and to test our modeling software under those conditions. Our simulation software is based on USGS's Integrated Software for Imagers and Spectrometers (ISIS) and uses a synthetic shape model, a camera model, and an empirical photometric model to generate simulated images. In advance of OSIRIS-REx's arrival at Bennu, we use simulated images to judge the efficacy of both the photometric modeling software and the mission observation plan. Color ratios maps provide insight into the composition and geological history of the surface and allow for comparison to other Solar System small bodies. We also require photometric correction for the creation of color ratio maps of Bennu. These data products directly feed into the selection of a site from which to safely acquire a sample. Well-corrected mosaics are critical to the generation of a global hazard map and a global 1064-nm reflectance map which predicts LIDAR response. These models will be used to photometrically correct panchromatic and color base maps of Bennu, compensating for variations due to shadows and photometric angle differences, thereby minimizing seams in mosaicked images. Imaging data from the mission will be used to develop empirical surface-resolved photometric models of Bennu at a series of wavelengths. The Origins, Spectral Interpretation, Resource Identification, Security, Regolith Explorer (OSIRIS-REx) is a NASA mission to study and return a sample of asteroid (101955) Bennu. Photometric Modeling of Simulated Surace-Resolved Bennu Images
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