Automated petroglyph image segmentation with interactive classifier fusion

Seidl, Markus; Breiteneder, Christian

doi:10.1145/2425333.2425399

Cited by 15 publications

(19 citation statements)

References 21 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, such analysis would never be complete without the contributions of volunteers, due to the amount of necessary work, and to technological limits, especially in the image processing domain. Indeed, although in the recent years several image recognition approaches have been proposed for automating the segmentation and classification of petroglyphs [15,16,10], their accuracy is still not fully satisfactory.…”

Section: Rock Art Archeologymentioning

confidence: 99%

“…In particular, the exact boundaries of petroglyphs are hard to identify, also due to the direction of the light [16]. Therefore, rather than solely relying on developing new and better algorithms to handle such tasks, we propose to exploit volunteered-based solutions, so as to benefit from the contributions of an external community of people.…”

Section: Motivationsmentioning

confidence: 99%

“…The results of this work led to the digitization and distribution of more maps via Internet [25]. Similarly, the New York Public Library's MapWarper project 16 aimed at correcting historical maps through an environment enabling volunteers to browse and correct old historic maps from the collection of the New York Public Library. Another relevant and successful collaborative geo-referencing project is eHarta, 17 which focuses on historical series maps of Romania [26].…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

A volunteered geographic information system for collecting and rating petroglyph data

Deufemia

Mascardi

Paolino

et al. 2014

Journal of Visual Languages & Computing

View full text Add to dashboard Cite

Section: Rock Art Archeologymentioning

confidence: 99%

Section: Motivationsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A volunteered geographic information system for collecting and rating petroglyph data

Deufemia

Mascardi

Paolino

et al. 2014

Journal of Visual Languages & Computing

View full text Add to dashboard Cite

“…The digitization and thus permanent preservation of petroglyphs recently gained increasing attention [23,34]. Recent effort is put into the building of retrieval systems that enable the search for similar shapes as well as the automated classification of petroglyphs into predefined shape classes according to archeological typologies [25].…”

Section: Introductionmentioning

confidence: 99%

“…Recent effort is put into the building of retrieval systems that enable the search for similar shapes as well as the automated classification of petroglyphs into predefined shape classes according to archeological typologies [25]. Following the segmentation of photographs of petroglyphs to get the shapes of the figures [23], the work in this publication is an essential prerequisite for later automated recognition of the shapes based on skeletal descriptors [24,25].…”

Section: Introductionmentioning

confidence: 99%

A study on skeletonization of complex petroglyph shapes

Wieser

Seidl

Zeppelzauer

2016

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

In this paper, we present a study on skeletonization of real-world shape data. The data stem from the cultural heritage domain and represent contact tracings of prehistoric petroglyphs. Automated analysis can support the work of archeologists on the investigation and categorization of petroglyphs. One strategy to describe petroglyph shapes is skeletonbased. The skeletonization of petroglyphs is challenging since their shapes are complex, contain numerous holes and are often incomplete or disconnected. Thus they pose an interesting testbed for skeletonization. We present a large real-world dataset consisting of more than 1100 petroglyph shapes. We investigate their properties and requirements for the purpose of skeletonization, and evaluate the applicability of state-of-the-art skeletonization and skeleton pruning algorithms on this type of data. Experiments show that pre-processing of the shapes is crucial to obtain robust skeletons. We propose an adaptive pre-processing method for petroglyph shapes and improve several state-of-the-art skeletonization algorithms to make them suitable for the complex material. Evaluations on our dataset show that 79.8 % of all shapes can be improved by the proposed pre-processing techniques and are thus better suited for subsequent skeletonization. Furthermore we observe that a thinning of the shapes produces robust skeletons for 83.5 % of our shapes and outperforms more sophisticated skeletonization techniques.

show abstract

Segmentation and Recognition of Petroglyphs Using Generic Fourier Descriptors

Deufemia

Paolino

2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

In this paper we present an approach for the segmentation and recognition of petroglyphs from images of rock art reliefs. To identify symbols we use a shape descriptor derived by 2-D Fourier transform, which is independent to scale and rotation, and robust to shape deformations. The efficacy of the algorithm has been validated by testing it with scenes and test images extracted from the archeological site located in Mount Bego (France). The results have been compared with those obtained by other descriptors

show abstract

Automated petroglyph image segmentation with interactive classifier fusion

Cited by 15 publications

References 21 publications

A volunteered geographic information system for collecting and rating petroglyph data

A volunteered geographic information system for collecting and rating petroglyph data

A study on skeletonization of complex petroglyph shapes

Segmentation and Recognition of Petroglyphs Using Generic Fourier Descriptors

Contact Info

Product

Resources

About