PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation

The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains. An area of special interest for such 3D reconstructions is the cultural heritage domain, where surface reconstructions are generated to digitally preserve historical artifacts. While reconstruction quality nowadays is sufficient in many cases, the robust analysis (e.g. segmentation, matching, and classification) of reconstructed 3D data is still an open topic. In this paper, we target the automatic and interactive segmentation of high-resolution 3D surface reconstructions from the archaeological domain. To foster research in this field, we introduce a fully annotated and publicly available large-scale 3D surface dataset including high-resolution meshes, depth maps and point clouds as a novel benchmark dataset to the community. We provide baseline results for our existing random forest-based approach and for the first time investigate segmentation with convolutional neural networks (CNNs) on the data. Results show that both approaches have complementary strengths and weaknesses and that the provided dataset represents a challenge for future research.Comment: CBMI Submission; Dataset and more information can be found at http://lrs.icg.tugraz.at/research/petroglyphsegmentation

Design and development of a 3D system for the measurement of tube eccentricity

We present a novel method for the 3D optical measurement of tube eccentricity. The prototype is based on two pairs of laser slits that illuminate the external and internal walls of the tube respectively. Each laser slit captures a 3D semi-profile in the zone close to the cut section of the tube. The laser slits are assembled following a suitably designed layout, which allows us to obtain the circumferential profiles of the internal and external tube surfaces. These profiles are fitted to two circles, and the eccentricity is measured as the distance between their respective centres. The system is suitable for monitoring the wall thickness in correspondence of tube cross sections characterized by scratches and chippings left by the cutting tool in a static way. In this paper, the method and the procedures developed to implement the measurement are described. The characterization of the laser slits, as well as the measurement performance of the system, is detailed. A number of experimental results highlighting the system performance in comparison with a 2D vision approach are discussed

Development and characterization of a multi-camera 2D-Vision system for enhanced performance of a drink serving robotic cell

A 2D-vision system is integrated into a drink-serving robotic cell, to enhance its flexibility. Two videocameras are used in a hybrid configuration scheme. The former is rigidly mounted on the robot end effector, the latter is fixed to the workplace. The robot cell is based on two Denso robots that interoperate to simulate real human tasks. Blob analysis, template matching and edge detection algorithms cooperate with motion procedures for fast object recognition and flexible adaptation to the environment. The paper details the system workflow, with particular emphasis to the vision procedures. The experimental results show their performance in terms of flexibility and robustness against defocusing, lighting conditions and nois

Combination of 2D and 3D vision systems into robotic cells for improved flexibility and performance

In this paper we present the research activity carried out in the integration of 2D and 3D vision systems into robot cells, to improve their performance in typical pick and place operations. Two projects have been developed: the former is the combination of a 2D vision system based on two cameras with a two-robot cell. The latter consists of the integration of a laser slit - based optical head in a robot arm, for the 3D recognition of pose and orientation of objects, in view of bin picking applications. Both projects were committed by DENSO EUROPE B. V. with the aim of improving the robots performances in terms of flexibility and robustness of operation

Operational Experience of the European-XFEL 3.9 GHz Coaxial Tuners

The European-XFEL injector hosts a third-harmonic section composed by a module with eigth 3.9 GHz cavities equipped with a coaxial frequency tuner inspired by INFN-LASA Blade Tuner design. The 3.9 GHz tuning system met specifications during all the injector runs in 2016 up to the recent commissioning of the entire linac; it matched the required tuning range and frequency sensitivity although higher than expected cavity detuning was experienced during pressure transients in the cryogenic system. An analysis of all collected experimental data is reported in this paper together with the strategy developed to provide a sound and effective retuning routine to the control room operator

The instruments used by the Italian centres for cognitive disorders and dementia to diagnose mild cognitive impairment (MCI)

Aims: The purpose of this study was to examine the tools used in Italy to diagnose mild cognitive impairment (MCI). Methods: In collaboration with the Luigi Amaducci Research Consortium, the Italian Network of Alzheimer Evaluation Units prepared a questionnaire to describe how MCI is diagnosed in the Italian Centres for cognitive disorders and dementia (CCDD). Results: Most of the ninety-two CCDDs participating in the survey were located in hospitals (54.7%); large percentages were coordinated by neurologists (50.8%) and geriatricians (44.6%). Almost all (98.5%) used the Mini Mental State Examination to diagnose MCI; the Clock Drawing Test was also frequently used (83.9%). Other neuropsychological, imaging and biomarker tests were utilized less frequently and a wide diversity in the instruments used was noted. Conclusions: According to the results, diagnoses of MCI are based on a multitude of instruments, with major differences in the clinical assessment of geriatricians and neurologists. Standardized testing protocols, validated instruments and cut-off points need to be identified and adopted by the CCDDs for assessing MCI