SEE-THROUGH IMAGING OF LASER-SCANNED 3D CULTURAL HERITAGE OBJECTS BASED ON STOCHASTIC RENDERING OF LARGE-SCALE POINT CLOUDS

10 citations as recorded by crossref.

1. Edge highlighting of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations D. Aoi et al. 10.1142/S1793962324500211
2. Deep learning-based point cloud upsampling: a review of recent trends S. Kwon et al. 10.1007/s42791-023-00058-6
3. Semantic Segmentation for Digital Archives of Borobudur Reliefs Based on Soft-Edge Enhanced Deep Learning S. Ji et al. 10.3390/rs15040956
4. Visualization of riverine water and vortex dynamics around the Naruto Strait based on high-resolution ocean simulation and satellite images S. Nakada et al. 10.15748/jasse.7.214
5. Digital characterization of the surface texture of chinese classical garden rockery based on point cloud visualization: small-rock mountain retreat C. Yang et al. 10.1186/s40494-022-00851-x
6. Edge highlighting with depth-dependent opacity gradation of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations D. Aoi et al. 10.1007/s12650-024-01014-9
7. Integrated High-Definition Visualization of Digital Archives for Borobudur Temple J. Pan et al. 10.3390/rs13245024
8. Visualization of 3D Scanned Data to Support Sandplay Therapy S. TANAKA et al. 10.3154/jvs.41.161_2
9. Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning W. Li et al. 10.3390/ijgi8090425
10. Missing Region Completion Network for Large-Scale Laser-Scanned Point Clouds: Application to Transparent Visualization of Cultural Heritage W. Li et al. 10.3390/rs16152758