openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23Cited by 0
An Approach to 3D Digitisation and Segmentation of the Interior and Exterior of a Complex Museum Object
Abstract. The digitisation of cultural heritage objects is an important procedure to conserve, share and analyse artefacts from the past. Nowadays, it is common practice to digitise artefacts using DSLR cameras and Structure from Motion. For most objects, this is a suitable procedure, but in some cases, objects have narrow interiors which cannot be reached with common camera equipment. Our case study is a small kayak model (~ 1 × 0.1 × 0.15 m) from the 19th century with an interior that can only be documented through small openings (0.1 m radius). We developed a method using a modified webcam to safely digitise the interior of the kayak. By comparing three datasets of a test object, we describe advantages and disadvantages of the usage of integrated autofocus and colour balance of the webcam. Furthermore, we extended our approach for segmentation of 3D models to consider the interior and prepare the models for future analysis. There were no major differences between the models of the three datasets, and all of them could reduce the data gaps in the 3D model based on the DSLR images noticeably.
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. 3D Gaussian Splatting (3DGS) has emerged as a promising method for photorealistic scene reconstructions, yet its application to semantic segmentation in real-world heritage documentation remains underexplored. This study proposes and evaluates an automated semantic 3DGS…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. Open-vocabulary 3D segmentation offers an attractive alternative to closed-set scene parsing, yet directly transferring 2D vision-language models to outdoor point clouds remains difficult because projection disrupts geometric continuity and sparse sampling weakens mask…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. Large-scale 3D panoptic segmentation is critical for digital twins and geospatial analysis, demanding models that process massive point clouds while distinguishing instances across highly diverse spatial scales. However, prevailing graph-based approaches rely on one-sho…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. This paper introduces the 3D-4CH project and its open framework, i.e. a sustainable ecosystem of tools designed to overcome the fragmentation and limited maintainability of previous EU-funded 3D heritage initiatives. Aligned with the European Collaborative Cloud for Cul…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. We demonstrate an end-to-end pipeline for 3D scene understanding which integrates unsupervised graph-based point cloud segmentation with LLM-enabled spatial reasoning and editing. A point cloud is segmented into a SemanticPatch decomposition (stage 1), labeled using a z…
openalexThe international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23
Abstract. As large-scale infrastructure gradually ages, hundreds of existing bridges require regular inspections to ensure structural safety. While many researchers have proposed deterioration detection methods based on computer vision and deep learning—which can detect deteriora…