Jul 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· Vol XLIX-B1-2026, pp. 103-112· 0 citations· 1 references
Abstract
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 from a workflow developed in 2024, an improved stitching algorithm has been designed in 2025 which uses so called “controlled” projective transformations and simultaneous adjustment of all available image overlaps. We give insight into the role of projective transformations for fusing the images of calibrated cameras in a virtual image plane and how we moved on from the classical eight parameter transformation to a “controlled” transformation using only six, physically meaningful parameters. Experiments with real image data from a flight mission over Denver, USA demonstrate the accuracy and stability of the new stitching algorithm.
This work collects the first thin object dataset comprising of synchronized RGB images, depth maps, and tactile response maps, where each frame is associated with inertial measurements, camera pose and calibration, and groundtruth depth and segmentation maps obtained from laser scanning of thin objects.
Shania Guo, Yeongsik Seo, Andrew Fu et al.· 1 citation
This paper experimentally compares three SLAM systems —ORB-SLAM3, RTAB-Map and Cartographer— on RGB-D data in a short-range robotic manipulation setting. Sequences were captured with two Intel RealSense cameras, the D405 and the D435i, mounted on a UR3e robotic arm, which enables repeatable trajectories and reduces the...
Quim Serrats, Edmundo Guerra, Y. Bolea et al.· Jornadas de Automática· 0 citations
Fringe projection profilometry (FPP) enables high-speed and dense 3-D measurements. However, when objects with complex color textures are measured, unavoidable lens defocus can introduce height jump errors that compromise measurement accuracy. To address this problem, a dual-camera-projector system is constructed, whic...
Peng-Cheng Yao, Tao Zhang, Ji Deng et al.· IEEE Transactions on Instrum...· 0 citations
Accurate camera intrinsic calibration is fundamental to robot perception, and the accuracy depends on the quality of the collected images. However, existing target-based calibration methods often require the practitioner to manually filter out high-quality images and to specify an appropriate radial distortion order. T...
OC-GS, an object-centric Gaussian splatting that refines each image's angle while maintaining a shared camera, rotation axis, and pivot, jointly optimizes image-derived geometry and angles to reconstruct objects from sparse, irregular captures.
Jae Joong Lee, B. Benes· 0 citations
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