0000000001248029
AUTHOR
F. Remondino
IMAGE ORIENTATION WITH A HYBRID PIPELINE ROBUST TO ROTATIONS AND WIDE-BASELINES
Abstract. The extraction of reliable and repeatable interest points among images is a fundamental step for automatic image orientation (Structure-From-Motion). Despite recent progresses, open issues in challenging conditions - such as wide baselines and strong light variations - are still present. Over the years, traditional hand-crafted methods have been paired by learning-based approaches, progressively updating the state-of-the-art according to recent benchmarks. Notwithstanding these advancements, learning-based methods are often not suitable for real photogrammetric surveys due to their lack of rotation invariance, a fundamental requirement for these specific applications. This paper p…
PHOTOGRAMMETRY NOW AND THEN - FROM HAND-CRAFTED TO DEEP-LEARNING TIE POINTS
Abstract. Historical images provide a valuable source of information exploited by several kinds of applications, such as the monitoring of cities and territories, the reconstruction of destroyed buildings, and are increasingly being shared for cultural promotion projects through virtual reality or augmented reality applications. Finding reliable and accurate matches between historical and present images is a fundamental step for such tasks since they require to co-register the present 3D scene with the past one. Classical image matching solutions are sensitive to strong radiometric variations within the images, which are particularly relevant in these multi-temporal contexts due to differen…
GEOMETRIC AND RADIOMETRIC ANALYSIS OF PAINTINGS
The paper reports an overview of some experiences carried out by some Italian research groups (Politecnico di Milano, University of Palermo, Bruno Kessler Foundation in Trento) aimed to assess the conservation‟s state of some analysed paintings and provide useful information for further diagnostic applications. The activities were accomplished in interdisciplinary teams composed of photogrammetrists, surveyors, restorers and experts of non-destructive diagnostic techniques for Cultural Heritage. Two main aspects are considered: (i) the analysis of the radiometric contents using multispectral images and (ii) the 3D surveying for geometric deformation analysis by means of photogrammetry and l…
Challenges in Image Matching for Cultural Heritage: An Overview and Perspective
Image matching, as the task of finding correspondences in images, is the upstream component of vision and photogrammetric applications aiming at the reconstruction of 3D scenes, their understanding and comparison. Such applications are of special importance in the context of cultural heritage, as they can support archaeologists to digitally preserve, restore and analyze antiquities, but also to compare their changes over time. The success of deep learning, now firmly established, paired with the evolution of computer hardware, has led to many advances in image processing, including image matching. Despite this progress, image matching still offers challenges, in terms of the matching proces…