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Profile-based Pottery Reconstruction

Profile-based Pottery Reconstruction

引用

IEEE Computer Society Conference on Computer Vision and pattern recognition Workshops (CVPRW)

作者： M. Kampel R. Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria

A major obstacle to the broader use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently extensive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric information describing an object, and merging geometric, texture and semantic data. We present a fully automated approach to pottery reconstruction based on the fragment profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. We demonstrate the method and give results on synthetic and real data.

关键词： image reconstruction Three dimensional displays Surface reconstruction pattern recognition Conferences Shape Computer vision

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Combining shape from silhouette and shape from structured light for volume estimation of archaeological vessels

Combining shape from silhouette and shape from structured li...

引用

International Conference on pattern recognition

作者： R. Sablatnig S. Tosovic M. Kampel Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

An algorithm for the automatic construction of a 3d model of archaeological vessels using two different 3d algorithms is presented. In archeology the determination of the exact volume of arbitrary vessels is of importance since this provides information about the manufacturer and the usage of the vessel. To acquire the 3d shape of objects with handles is complicated, since occlusions of the object's surface are introduced by the handle and can only be resolved by taking multiple views. Therefore, the 3d reconstruction is based on a sequence of images of the object taken from different viewpoints with two different algorithms; shape from silhouette and shape from structured light. The output of both algorithms are then used to construct a single 3d model. Results of the algorithm developed are presented for both synthetic and real input images.

关键词： Shape image reconstruction Automation pattern recognition image processing Manufacturing Ceramics Planing Rain Cameras

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3D modeling of archaeological vessels using shape from silhouette

3D modeling of archaeological vessels using shape from silho...

引用

International Conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： S. Tosovic R. Sablatnig Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

ISBN: (纸本)0769509843

An algorithm for the automatic construction of a 3D model of archaeological vessels is presented. In archeology the determination of the exact volume of arbitrary vessels is of importance since this provides information about the manufacturer and the usage of the vessel. To acquire the shape of objects with handles in 3d is complicated, since occlusions of the object's surface are introduced by the handle and can only be resolved by taking multiple views. Therefore, the 3d reconstruction is based on a sequence of images of the object taken from different viewpoints. The object's silhouette is the only feature which is extracted from an input image. images are acquired by rotating the object on a turntable in front of a stationary camera. The algorithm uses an octree representation of the model, and builds this model incrementally, by performing limited processing of all input images for each level of the octree. Beginning from the root node at the level 0 a rough model of the object is obtained quickly and is refined as the processed level of the octree increases. Results of the algorithm developed are presented for both synthetic and real input images.

关键词： Shape Cameras Automation pattern recognition image processing Manufacturing image reconstruction Feature extraction Ceramics Distortion measurement

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Orientation of Fragments of Rotationally Symmetrical 3D-Shapes for Archaeological Documentation

Orientation of Fragments of Rotationally Symmetrical 3D-Shap...

引用

International Symposium on 3D Data processing Visualization and Transmission

作者： Hubert Mara Robert Sablatnig Institute for Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Motivated by the requirements of modern archaeologists, we are developing a documentation system based on structured light for acquisition of ceramics. Fragments of ceramics are daily finds at excavations and important for archaeological research, because their shape leads to information about ancient cultures. The shapes used for documentation are called profile lines and estimated by a vertical cross-section of orientated fragments. As ceramics have been produced using rotational plates for several thousands of years, the rotational axis can be used for orientation. Therefore we conducted experiments using existing methods for estimation of the rotational axis. The drawbacks of these methods are the requirement of either complete objects or industrialized quality of symmetry. Therefore we show a new method using circle templates, which has been inspired by the manual method of archaeologists. In this work we present results using previous and related work in comparison with the estimation of the rotational axis using circle templates. The results of the presented methods are shown for synthetic data, well-known fragments and real data acquired at an archaeological excavation. Finally a conclusion and an outlook is given.

关键词： Documentation Ceramics Shape Orifices Principal component analysis Automation pattern recognition image processing Manufacturing Filling

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Automated segmentation of archaeological profiles for classification

Automated segmentation of archaeological profiles for classi...

引用

International Conference on pattern recognition

作者： M. Kampel R. Sablatnig Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Classification and reconstruction of archaeological fragments is based on the profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. In order to segment the profile into primitives like rim, wall, and base, rules based on expert knowledge are created. The input data for the estimation of the profile is a set of points produced by the acquisition system. A function fitting this set is constructed and later on processed to find the characteristic points necessary to classify the original fragment. The one we propose is based on B-splines or bell-shaped splines.

关键词： Shape image segmentation Ceramics Documentation Automation pattern recognition image processing Containers Graphics Orifices

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Investigation on traditional and modern ceramic documentation

Investigation on traditional and modern ceramic documentatio...

引用

IEEE International Conference on image processing

作者： M. Kampel H. Mara R. Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria

Archaeology is at a point where it can benefit greatly from the application of computer vision methods, and in turn provides a large number of new, challenging and interesting conceptual problems and data for computer science. This is true in particular in the study of ceramics - the most abundant and widespread of all archaeological finds. The traditional way of documenting archaeological sherds is to draw the profile line, which is the intersection of a sherd along the axis of symmetry. A profilograph is a mechanical device, which can directly acquire and transfer a profile line by pin-pointing the profile on a sherd to a computer. We developed a fully automated vision system, which is able to compute the profile line out of the acquired 3D model of the fragment. In this paper we want to give a thorough comparison between the traditional manual approach, the profilograph and our system and present an improvement of the robustness of our approach by finding circular rills on the fragments. Practical experiments have been undertaken at the excavation Tel Dor in Israel.

关键词： Ceramics Documentation Computer vision Pins pattern recognition image processing Automation Application software Computer science Machine vision

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Texture and Profile Features for Drawing Media recognition in Underdrawings

Texture and Profile Features for Drawing Media Recognition i...

引用

International Conference on pattern recognition

作者： M. Lettner R. Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria

ISBN: (纸本)0769525210

In this study we analyze texture and profile features of painted strokes in order to identify the drawing media used for sketching underdrawings. Underdrawings are preliminary drawings on the panel prepared for paintings and are unseen in the finished work. Cameras working in the near infrared range allow the visualization of underdrawings. Due to the tiny width of the strokes we perform an alignment of the feature extraction windows in order to obtain a major content of the stroke texture. The method is tested on strokes applied on test panels and underdrawing strokes in IR images of medieval paintings

关键词： Painting Testing pattern recognition image texture analysis Feature extraction image analysis Paints Art Technological innovation Silver

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On 3D mosaicing of rotationally symmetric ceramic fragments

On 3D mosaicing of rotationally symmetric ceramic fragments

引用

International Conference on pattern recognition

作者： M. Kampel R. Sablatnig Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

A major obstacle to the wider use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently massive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric detail describing an object, merging geometric, texture and semantic data. This work aims to develop a solution for automated documentation of archaeological pottery, which also leads to a more complete 3D model out of multiple fragments. Generally the 3D reconstruction of arbitrary objects from their fragments can be regarded as a 3D puzzle. In order to solve it we identified the following main tasks: 3D data acquisition, orientation of the object, classification of the object and reconstruction. We demonstrate the method and give results on synthetic and real data.

关键词： Ceramics image reconstruction pattern recognition Assembly Surface cracks Surface reconstruction Automation image processing Manuals Project management

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Virtual reconstruction of broken and unbroken pottery

Virtual reconstruction of broken and unbroken pottery

引用

International Conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： M. Kampel R. Sablatnig Institute for Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification and reconstruction of ceramics. Due to the nature of ceramics, most of the excavated vessels are in the form of fragments called sherds. Only a few of the finds are complete, however these finds are the most important and interesting ones. Therefore we are developing a system that handles both complete and broken vessels using two different reconstruction strategies: A shape from silhouette based method for complete vessels and a profile based method for fragments. The profile is the cross-section of the fragment in the direction of the rotational axis of symmetry and can be represented by a closed curve in the plane. For complete vessels the 3D reconstruction is based on a sequence of images of the object taken from different viewpoints. Then the output of both algorithms is used to construct the 3D model of the vessel for classification and display.

关键词： image reconstruction Ceramics Documentation Educational technology Automation pattern recognition image processing Shape Three dimensional displays Cultural differences

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On estimating the position of fragments on rotational symmetric pottery

On estimating the position of fragments on rotational symmet...

引用

International Conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： R. Sablatnig C. Menard Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Wien Austria

The activation of ancient vessel-fragments is a time consuming but important task for archaeologists. The basis for classification and reconstruction is the profile which is the cross-section of the fragment in the direction of the rotational axis of symmetry. Hence the position of a fragment (orientation) on a vessel is important. In this work the estimation of the axis of rotation out of range data by using a Hough inspired method is proposed. In order to avoid outliers a robust method for estimation of the axis is used. Classification and reconstruction are performed in a bottom-up manner using a description language, which holds all features of the fragment as primitives and all properties among features as relations. Classification of newly found fragments of unknown type is performed by comparing the description of the new fragment with the description of already classified fragments by completing graph similarity. The sub-graph with the highest similarity is then used to reconstruct the complete vessel out of the fragment.

关键词： image reconstruction Ceramics Automation pattern recognition image processing Cultural differences Global communication Shape Production Consumer behavior

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