4 research outputs found
Three-dimensional visualization in archaeological research: a correlational study
Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌ Π΄ΠΎΡΡΡΠΏΠ½Ρ ΡΡΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΡΠΏΠΎΡΠΎΠ±Π° Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π°ΡΡΠ΅ΡΠ°ΠΊΡΠΎΠ²: ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΈΡΡΠ½ΠΊΠ°, ΡΠΎΡΠΎΠ³ΡΠ°ΡΠΈΠΈ ΠΈ ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ. ΠΠΎΠΌΠΈΠΌΠΎ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π°ΡΡ
Π΅ΠΎ- Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΡΡΠ΅ΡΠ°ΠΊΡΠΎΠ², ΠΈΠ»Π»ΡΡΡΡΠ°ΡΠΈΠΈ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΈΠ· ΡΠΏΠΎΡΠΎΠ±ΠΎΠ², ΠΌΠΎΠ³ΡΡ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»ΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠ΅ Π½Π°ΡΡΠ½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° ΠΈ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠΈ ΠΏΠ΅ΡΠ΅ΡΠΈΡΠ»Π΅Π½Π½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π°ΡΡ
Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ Π½Π°ΡΡΠ½ΡΡ
Π°ΡΡ
Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. Π‘ΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΌΡ Π°Π½Π°Π»ΠΈΠ·Ρ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π½ΡΡΡ 3D-ΠΌΠΎΠ΄Π΅Π»Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½Π°Ρ ΠΏΡΠΈ ΡΠΊΠ°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΡΡΡΠΊΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ°; Π²ΡΡΠΎΠΊΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΡΠΎΡΠΎΠ³ΡΠ°ΡΠΈΡ (ΡΡΠ΅ΠΊΠΈΠ½Π³ ΠΏΠΎ ΡΠΎΠΊΡΡΡ) ΠΈ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΈΡΡΠ½ΠΎΠΊ, Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ Ρ
ΡΠ΄ΠΎΠΆΠ½ΠΈΠΊΠΎΠΌ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠΈΠΌΠ΅ΡΠΎΠ² Π°ΡΡ
Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΡΡΠ΅ΡΠ°ΠΊΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ ΡΡΠ΅Π΄Π½Π΅ΠΏΠ°Π»Π΅ΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π±ΠΈΡΠ°ΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΎΡΡΠ΄ΠΈΡ ΠΈΠ· ΠΏΠ΅ΡΠ΅ΡΡ Π§Π°Π³ΡΡΡΠΊΠ°Ρ (ΠΠ»ΡΠ°ΠΉ) ΠΈ ΡΡΠ΅Π΄Π½Π΅ΠΏΠ°Π»Π΅ΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π½ΡΠΊΠ»Π΅ΡΡΡ ΡΠΎ ΡΡΠΎΡΠ½ΠΊΠΈ ΠΡΠ»ΡΠ±ΡΠ»Π°ΠΊ (Π’ΡΠ½Ρ-Π¨Π°Π½Ρ), ΠΊΠΎΡΡΡΠ½ΡΠ΅ ΠΏΠ°Π·ΠΎΠ²ΡΠ΅ ΠΎΠ±ΠΎΠΉΠΌΡ ΡΠΎ ΡΡΠΎΡΠ½ΠΊΠΈ ΠΠ°Π·Π°ΡΠΊΠ° (ΠΠ°Π½ΡΠΊΠΎ-Π ΡΠ±ΠΈΠ½ΡΠΊΠ°Ρ ΠΊΠΎΡΠ»ΠΎΠ²ΠΈΠ½Π°). ΠΡ ΠΏΡΠΎΠ²Π΅Π»ΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΠΏΠΎ ΡΠ»Π΅Π΄ΡΡΡΠΈΠΌ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌ: Π²ΡΠ΅ΠΌΡ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ Π΅Π³ΠΎ ΡΡΠΎΠΈΠΌΠΎΡΡΡ, ΡΡΠΎΠΈΠΌΠΎΡΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠ΅ Π½Π°Π²ΡΠΊΠΈ. ΠΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΌΡ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΡΠ°ΠΊΠΆΠ΅ Π±ΡΠ»ΠΈ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π½ΡΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠΈΡΡΠ½ΠΎΠΊ, ΡΠΎΡΠΎΠ³ΡΠ°ΡΠΈΡ ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΎΡΠ½ΠΎΠ²Ρ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ (ΡΠΊΠ°Ρ-ΠΏΠ°ΡΡΠ΅ΡΠ½ Π°Π½Π°Π»ΠΈΠ·, Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΠΊΠΎ-ΠΌΠΎΡΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ·, ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π΅ΡΠ°Π»ΠΈ) ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΏΠΎΠ»ΡΡΠ°Π΅ΠΌΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ (Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠΉ Π»ΠΈΠ±ΠΎ Π²ΡΡΠΎΠΊΠΎΡΠΎΡΠ½ΡΡ
ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ). Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π½Π°ΠΌ ΡΠ΄Π°Π»ΠΎΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° ΠΈ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π½Π°ΡΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΡ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌ, ΡΡΠΎ Π±Π»Π°Π³ΠΎΠ΄Π°ΡΡ ΠΏΠΎΡΡΠ΅ΠΏΠ΅Π½Π½ΠΎΠΌΡ ΡΠ΄Π΅ΡΠ΅Π²Π»Π΅Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄Π°, Π±ΡΡΡΡΠΎΡΠ΅ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ ΠΈ Π±ΠΎΠ»ΡΡΠΈΠΌ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΠΌ ΠΈΠ·Π²Π»Π΅ΡΠ΅Π½ΠΈΡ Π½Π°ΡΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΈΠ»Π»ΡΡΡΡΠ°ΡΠΈΠΈ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΊΠ°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΡΡΡΠΊΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ°, Π±ΡΠ΄ΡΡ ΠΈΠΌΠ΅ΡΡ ΡΠΈΡΠΎΠΊΠΎΠ΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ Π² Π½Π°ΡΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
Π² Π±Π»ΠΈΠΆΠ°ΠΉΡΠ΅ΠΌ Π±ΡΠ΄ΡΡΠ΅ΠΌ
Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
Feature curves are largely adopted to highlight shape features, such as sharp lines, or to divide surfaces into meaningful segments, like convex or concave regions. Extracting these curves is not sufficient to convey prominent and meaningful information about a shape. We have first to separate the curves belonging to features from those caused by noise and then to select the lines, which describe non-trivial portions of a surface. The automatic detection of such features is crucial for the identification and/or annotation of relevant parts of a given shape. To do this, the Hough transform (HT) is a feature extraction technique widely used in image analysis, computer vision and digital image processing, while, for 3D shapes, the extraction of salient feature curves is still an open problem. Thanks to algebraic geometry concepts, the HT technique has been recently extended to include a vast class of algebraic curves, thus proving to be a competitive tool for yielding an explicit representation of the diverse feature lines equations. In the paper, for the first time we apply this novel extension of the HT technique to the realm of 3D shapes in order to identify and localize semantic features like patterns, decorations or anatomical details on 3D objects (both complete and fragments), even in the case of features partially damaged or incomplete. The method recognizes various features, possibly compound, and it selects the most suitable feature profiles among families of algebraic curves
3D Recording and Interpretation for Maritime Archaeology
This open access peer-reviewed volume was inspired by the UNESCO UNITWIN Network for Underwater Archaeology International Workshop held at Flinders University, Adelaide, Australia in November 2016. Content is based on, but not limited to, the work presented at the workshop which was dedicated to 3D recording and interpretation for maritime archaeology. The volume consists of contributions from leading international experts as well as up-and-coming early career researchers from around the globe. The content of the book includes recording and analysis of maritime archaeology through emerging technologies, including both practical and theoretical contributions. Topics include photogrammetric recording, laser scanning, marine geophysical 3D survey techniques, virtual reality, 3D modelling and reconstruction, data integration and Geographic Information Systems. The principal incentive for this publication is the ongoing rapid shift in the methodologies of maritime archaeology within recent years and a marked increase in the use of 3D and digital approaches. This convergence of digital technologies such as underwater photography and photogrammetry, 3D sonar, 3D virtual reality, and 3D printing has highlighted a pressing need for these new methodologies to be considered together, both in terms of defining the state-of-the-art and for consideration of future directions. As a scholarly publication, the audience for the book includes students and researchers, as well as professionals working in various aspects of archaeology, heritage management, education, museums, and public policy. It will be of special interest to those working in the field of coastal cultural resource management and underwater archaeology but will also be of broader interest to anyone interested in archaeology and to those in other disciplines who are now engaging with 3D recording and visualization