Jul 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· 0 citations· 6 references
Abstract
Abstract. The paper presents a 3D-informed method for generating stitched panoramic images from multi-camera rigs through rigorous reprojection onto a scene model. Unlike conventional and parallax-tolerant stitching, the proposed approach explicitly accounts for camera calibration, relative orientation, and scene geometry, with the aim of reducing parallax effects while preserving metric consistency. The method is tested on confined environments, where non-coincident projection centres make stitching especially critical, and is evaluated with different rig configurations, including systems with both small and large sensor baselines. Two experiments are performed: a stitching-accuracy test against synthetic reference panoramas, and a Structure from Motion (SfM) test comparing rigorous panoramas with raw fisheye processing. Results show that the proposed approach yields geometrically consistent panoramas and substantial gains in processing efficiency, although raw fisheye images still provide the best overall metric performance in the most demanding reconstruction scenarios.
This work proposes a framework tailored for 3D reconstruction that is based on predicting scene rays, which adds flexibility to the reconstruction pipeline and enables the use of recent advances in camera models.
D. Ruppel, Hasan Kutlu, Kai A. Neumann et al.· 0 citations
Abstract. In this paper, we describe a modern, efficient, accurate and reliable stitching algorithm that JOANNEUM RESEARCH (JR) has developed for the Phase One PAS Pana multi-camera system. The goal is to generate one large output image (four-channels including RGB and NIR) in nadir geometry. Based on the experience fr...
R. Ladstädter, K. Gutjahr, Erich Riegler et al.· The International Archives o...· 0 citations
This work proposes a hybrid reconstruction pipeline, leveraging the strengths and benefits of each technique, which exploits the accurate geometry of photogrammetry in well-textured regions and the GS capabilities to improve completeness and visual aspect in areas featuring non-collaborative surfaces.
Fabio Remondino, E. M. Farella, Gianluca Bertolasi et al.· The International Archives o...· 0 citations
It is demonstrated that the PSC consistently outperforms the checkerboard method in both accuracy and precision across a range of vision tasks, including 3D reconstruction with structure from motion (SfM), visual simultaneous localization and mapping (SLAM), and novel-view synthesis and reconstruction.
Akshay Bharadwaj, D. Lichti· Remote Sensing· 0 citations
ODGS-SLAM is presented, an omnidirectional simultaneous localization and mapping (SLAM) system utilizing 3D Gaussian Splatting (3DGS) as the unified representation for tracking and mapping that reconstructs scene geometry from panoramic image sequences via splats while also estimating the camera poses.
S. Spiss, Joey Hieronimy, Marcel Ritter et al.· 2 citations
This work aims to guide future research toward robust, accurate, and certifiable 3D reconstruction systems suitable for engineering, industrial, and geospatial applications, by bridging the gap between classical photogrammetry and data-driven 3D vision.
Xin Wang, Tengfei Wang, M. Hillemann et al.· PFG – Journal of Photogramme...· 0 citations
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