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001-es BibID:	BIBFORM127110
035-os BibID:	(WoS)001327628800002 (Scopus)85205784430
Első szerző:	Bodonyi Andrea Beatrix (programtervező informatikus)
Cím:	Real-time ray transfer for lens flare rendering using sparse polynomials / Bodonyi, Andrea; Csoba, István; Kunkli, Roland
Dátum:	2025
ISSN:	0178-2789
Megjegyzések:	While lens flares are often undesired artifacts of the imaging process, they are also essential for increasing the level of realism in video games and serve as a powerful artistic tool for photography and filmography. For these reasons, computationally reproducing lens flares has always received special attention. Due to the cost of analytical ray tracing, existing solutions are unable to simultaneously achieve the performance needed for real-time environments and retain the ability to simulate arbitrarily complex ghost shapes. Although polynomial optics has been successfully used to increase the efficiency of ray tracing in multiple rendering areas, no complete and validated solution exists that correctly models all aspects of lens flares. This paper presents our polynomial optics-based method for efficiently and accurately ray tracing lens flare ghosts. Our approach successfully models the shape, energy absorption, chromatic effects, and blocking of lens flare rays by partitioning the input domain into local fitting zones. We demonstrate that our model provides a considerable speedup and high accuracy compared to the analytical approach and achieves better fitting speed, output quality, and rendering performance than the naïve application of polynomial optics. The source code for our implementation is available on GitHub.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Lens flare rendering Polynomial optics Ray tracing Camera lens effects Sparse polynomial regression
Megjelenés:	Visual Computer. - 41 : 5 (2025), p. 3645-3662. -
További szerzők:	Csoba István (1994-) (programtervező informatikus) Kunkli Roland (1982-) (matematika, informatika, ábrázoló geometria szakos tanár)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM115697
035-os BibID:	(WoS)001073086400001 (Scopus)85173033598
Első szerző:	Csoba István (programtervező informatikus)
Cím:	Fast rendering of central and peripheral human visual aberrations across the entire visual field with interactive personalization / Csoba István, Kunkli Roland
Dátum:	2024
ISSN:	0178-2789
Megjegyzések:	With the recent progress made in areas such as head-mounted displays and vision-correcting devices, there is a growing interest in fast and personalized algorithms for simulating aberrated human vision. Existing vision-simulating approaches are generally hindered by the lack of personalization, computational cost of rendering, and limited types of supported aberrations. This paper presents a fast vision simulation method with interactive personalization capabilities for simulating arbitrary central and peripheral aberrations of the human eye. First, we describe a novel, neural network-based solution for efficiently estimating the physical structure of the simulated eye and calculating the necessary Zernike aberration coefficients for computing the point-spread functions with varying pupil sizes, focus distances, and incidence angles. Our new approach operates in the sub-second regime and produces highly accurate outputs, facilitating the interactive personalization of vision simulation. Next, we present an improved PSF interpolation method for an existing tiled PSF splatting algorithm for rendering. The proposed algorithm significantly improves the computational performance and memory efficiency of the previous approach, allowing the simulation of peripheral vision with arbitrary visual aberrations in low-latency applications. Following the description of our new techniques, we evaluate their performance characteristics and simulation accuracies on several different eye conditions and test scenarios and compare our results to several previous vision simulation algorithms.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Human vision simulation Eye structure estimation Aberration estimation Neural networks Convolution Point-spread function interpolation
Megjelenés:	Visual Computer. - 40 : 5 (2024), p. 3709-3731. -
További szerzők:	Kunkli Roland (1982-) (matematika, informatika, ábrázoló geometria szakos tanár)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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