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Photometric Redshifts for Next-Generation Surveys [PDF]
Annual Review of Astronomy and Astrophysics, 2022 Photometric redshifts are essential in studies of both galaxy evolution and cosmology, as they enable analyses of objects too numerous or faint for spectroscopy.
J. Newman, D. Gruen
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Deep Learning Methods for Calibrated Photometric Stereo and Beyond [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Photometric stereo recovers the surface normals of an object from multiple images with varying shading cues, i.e., modeling the relationship between surface orientation and intensity at each pixel.
Yakun Ju +5 more
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Direct-PoseNet: Absolute Pose Regression with Photometric Consistency [PDF]
International Conference on 3D Vision, 2021 We present a relocalization pipeline, which combines an absolute pose regression (APR) network with a novel view synthesis based direct matching module, offering superior accuracy while maintaining low inference time.
Shuai Chen, Zirui Wang, V. Prisacariu
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Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2020 Modeling hand-object manipulations is essential for understanding how humans interact with their environment. While of practical importance, estimating the pose of hands and objects during interactions is challenging due to the large mutual occlusions ...
Yana Hasson +5 more
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Multiview Photometric Stereo [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008 This paper addresses the problem of obtaining complete, detailed reconstructions of textureless shiny objects. We present an algorithm which uses silhouettes of the object, as well as images obtained under changing illumination conditions. In contrast with previous photometric stereo techniques, ours is not limited to a single viewpoint but produces ...
Hernández, Carlos +2 more
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The Clustering of DESI-like Luminous Red Galaxies Using Photometric Redshifts [PDF]
Monthly notices of the Royal Astronomical Society, 2020 We present measurements of the redshift-dependent clustering of a DESI-like luminous red galaxy (LRG) sample selected from the Legacy Survey imaging dataset, and use the halo occupation distribution (HOD) framework to fit the clustering signal.
R. Zhou +13 more
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Deep Photometric Stereo for Non-Lambertian Surfaces [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning.
Guanying Chen +4 more
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THE ALHAMBRA PHOTOMETRIC SYSTEM [PDF]
The Astronomical Journal, 2010 Astronomical Journal on the 14th of January ...
Villegas, T. Aparicio +22 more
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Gaia Data Release 1. Summary of the astrometric, photometric, and survey properties [PDF]
, 2016 At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7.
G. C. Brown +11 more
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SuperRAENN: A Semisupervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium-Deep Survey Supernovae [PDF]
Astrophysical Journal, 2020 Automated classification of supernovae (SNe) based on optical photometric light-curve information is essential in the upcoming era of wide-field time domain surveys, such as the Legacy Survey of Space and Time (LSST) conducted by the Rubin Observatory ...
V. Villar +20 more
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