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Photorealistic Learned Landscapes for Augmented Reality
Published on: June 27, 2025
Development of an augmented virtuality framework using user-defined passthrough surfaces
Abdul Hannan Bin Zulkarnain1, Attila Gere1
1Department of Postharvest, Supply Chain, Commerce and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Villányi út 29-31, Budapest, H-1118, Hungary.
Abstract:
An augmented virtuality framework is presented in which the physical scene is admitted only through developer-defined geometric apertures, while all other pixels are rendered virtually. The scene initialises as a black field and uses surface-projected, overlay-style compositing so that the camera stream is visible only on circular or square meshes registered as projection surfaces. Tracking origin is configured to minimise unintended recentring, and the same method can operate either as a minimal black scene or within an optional three-dimensional environment. Main features of the framework are as follows: deterministic compositing that binds real imagery to user-defined meshes and prevents leakage outside apertures. stable alignment between virtual geometry and the physical workspace during head motion achieved through standard XR configuration. a flexible scene recipe that supports circular or square apertures and optional contextual environments without altering projection logic. The framework is intended for sensory and consumer studies that require real product interaction under controlled context and generalises to training, human factors, and rehabilitation scenarios requiring constrained visibility of the real world.
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