Interactive HDR Image-Based Rendering from Unstructured LDR Photographs

Autor: Loubna Lechlek, Romuald Perrot, Mohamed Chaouki Babahenini, Daniel Meneveaux, Mickaël Ribardière
Přispěvatelé: Université Mohamed Khider de Biskra (BISKRA), Université de Poitiers - Faculté de Sciences fondamentales et appliquées, Université de Poitiers, Synthèse et analyse d'images (XLIM-ASALI), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Computers and Graphics
Computers and Graphics, Elsevier, 2019, 84, ⟨10.1016/j.cag.2019.07.010⟩
ISSN: 0097-8493
DOI: 10.1016/j.cag.2019.07.010⟩
Popis: International audience; This paper proposes an interactive High Dynamic Range (HDR) image-based rendering system, dedicated to manually acquired photographs. It only relies on a point-based geometric proxy and the original photographs, calibrated using a standard structure-from-motion process. First, a depth map is estimated for each new rendered viewpoint, based on the point cloud. Second, pixel values are reconstructed from the original photographs, using a blending model that also handles occlusion. Our system can be used for producing HDR images from several series of unaligned photographs with different exposures. As shown in the results, it proves efficient with various types of objects, implemented in WebGL, making it practical for many purposes.
Databáze: OpenAIRE