Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Loncaric, Sven"'
In this paper, we present a survey of deep learning-based methods for the regression of gaze direction vector from head and eye images. We describe in detail numerous published methods with a focus on the input data, architecture of the model, and lo
Externí odkaz:
http://arxiv.org/abs/2410.17082
Non-destructive testing is a set of techniques for defect detection in materials. While the set of imaging techniques are manifold, ultrasonic imaging is the one used the most. The analysis is mainly performed by human inspectors manually analyzing r
Externí odkaz:
http://arxiv.org/abs/2106.04281
Autor:
Ershov, Egor, Savchik, Alex, Semenkov, Ilya, Banić, Nikola, Koscević, Karlo, Subašić, Marko, Belokopytov, Alexander, Li, Zhihao, Terekhin, Arseniy, Senshina, Daria, Nikonorov, Artem, Qian, Yanlin, Buzzelli, Marco, Riva, Riccardo, Bianco, Simone, Schettini, Raimondo, Lončarić, Sven, Nikolaev, Dmitry
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an accurate and reliable illumination estimation is important for reducing t
Externí odkaz:
http://arxiv.org/abs/2012.15779
Autor:
Ershov, Egor, Savchik, Alex, Semenkov, Illya, Banić, Nikola, Belokopytov, Alexander, Senshina, Daria, Koscević, Karlo, Subašić, Marko, Lončarić, Sven
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important parts of t
Externí odkaz:
http://arxiv.org/abs/2011.10028
Autor:
Lo, Julian, Heisler, Morgan, Vanzan, Vinicius, Karst, Sonja, Matovinovic, Ivana Zadro, Loncaric, Sven, Navajas, Eduardo V., Beg, Mirza Faisal, Sarunic, Marinko V.
Purpose: Optical Coherence Tomography Angiography (OCT-A) permits visualization of the changes to the retinal circulation due to diabetic retinopathy (DR), a microvascular complication of diabetes. We demonstrate accurate segmentation of the vascular
Externí odkaz:
http://arxiv.org/abs/2003.09033
Publikováno v:
In Expert Systems With Applications 15 August 2023 224
Autor:
Heisler, Morgan, Chan, Forson, Mammo, Zaid, Balaratnasingam, Chandrakumar, Prentasic, Pavle, Docherty, Gavin, Ju, MyeongJin, Rajapakse, Sanjeeva, Lee, Sieun, Merkur, Andrew, Kirker, Andrew, Albiani, David, Maberley, David, Freund, K. Bailey, Beg, Mirza Faisal, Loncaric, Sven, Sarunic, Marinko V., Navajas, Eduardo V.
Automatic quantification of perifoveal vessel densities in optical coherence tomography angiography (OCT-A) images face challenges such as variable intra- and inter-image signal to noise ratios, projection artefacts from outer vasculature layers, and
Externí odkaz:
http://arxiv.org/abs/1909.11289
Autor:
Zečević, Petar, Slater, Colin T., Jurić, Mario, Connolly, Andrew J., Lončarić, Sven, Bellm, Eric C., Golkhou, V. Zach, Suberlak, Krzysztof
We introduce AXS (Astronomy eXtensions for Spark), a scalable open-source astronomical data analysis framework built on Apache Spark, a widely used industry-standard engine for big data processing. Building on capabilities present in Spark, AXS aims
Externí odkaz:
http://arxiv.org/abs/1905.09034
In this paper, we present a novel method for analysis and segmentation of laminar structure of the cortex based on tissue characteristics whose change across the gray matter underlies distinctive between cortical layers. We develop and analyze featur
Externí odkaz:
http://arxiv.org/abs/1905.01173
Implementing color constancy as a pre-processing step in contemporary digital cameras is of significant importance as it removes the influence of scene illumination on object colors. Several benchmark color constancy datasets have been created for th
Externí odkaz:
http://arxiv.org/abs/1903.12581