Fresco painting, a technique that dates back to antiquity, involves applying dry pigments to wet plaster, creating stunning artwork that can last for centuries. Over time, however, these masterpieces often face degradation due to delamination, where decorative plaster layers separate from the underlying masonry or structural plaster. This deterioration can compromise the structural integrity of the artwork, necessitating restoration efforts.

Historically, conservators have gently knocked on the plaster with their knuckles or small mallets to assess the condition of the fresco. By listening to the emitted sound, they could identify the delaminated areas needing repair. While effective, this technique is limited both by the conservator’s experience and the small number of people in the world who possess these skills.

Recent research by Joseph Vignola at the Catholic University of America is revolutionizing fresco assessment. Vignola and his team have applied laser Doppler vibrometry to locate delamination in the frescos of Constantino Brumidi in the U.S. Capitol building. This innovative method uses a laser to measure the vibration of a surface, enabling the team to detect delaminated areas based on their unique vibrational characteristics.

Researchers develop a novel edge-highlighting visualization technique for more comprehensible 3D-scanned objects. Improvements in three-dimensional (3D) scanning have enabled quick and accurate scanning of 3D objects, including cultural heritage objects, as 3D point cloud data. However, conventional edge-highlighting visualization techniques, used for understanding complex 3D structures, result in excessive line clutter, reducing clarity. Addressing these issues, a multinational team of researchers have developed a novel technique, involving independent rendering of soft and sharp edges in 3D structures, resulting in improved clarity and depth perception.

Recent advances in three-dimensional (3D) scanning, particularly in photogrammetry and laser scanning, have made it possible to quickly and accurately scan complex 3D objects in the real world. These techniques generate detailed models by collecting large-scale point cloud data, representing the object’s surface geometry through millions of individual points. This technology has applications in different fields, such as the 3D scanning of cultural heritage objects. By preserving these objects in digital formats, researchers can analyze their structures in greater depth. However, the complexity of data is often significant, especially when the scanned object has internal 3D structures, like rough edges.

Edge-highlighting visualization is a technique used to improve the clarity of complex 3D structures by emphasizing the object’s edges, making its shape and structure more distinguishable. However, existing methods struggle when applied to highly complex objects. These methods draw too many lines, which decreases clarity by impairing resolution and depth perception.