Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics

We focus on enabling damage and tampering detection in logistics and tackle the problem of 3D shape reconstruction of potentially damaged parcels. As input we utilize single RGB images, which corresponds to use-cases where only simple handheld devices are available, e.g. for postmen during delivery or clients on delivery. We present a novel synthetic dataset, named Parcel3D, that is based on the Google Scanned Objects (GSO) dataset and consists of more than 13,000 images of parcels with full 3D annotations. The dataset contains intact, i.e. cuboid-shaped, parcels and damaged parcels, which were generated in simulations. We work towards detecting mishandling of parcels by presenting a novel architecture called CubeRefine R-CNN, which combines estimating a 3D bounding box with an iterative mesh refinement. We benchmark our approach on Parcel3D and an existing dataset of cuboid-shaped parcels in real-world scenarios. Our results show, that while training on Parcel3D enables transfer to the real world, enabling reliable deployment in real-world scenarios is still challenging. CubeRefine R-CNN yields competitive performance in terms of Mesh AP and is the only model that directly enables deformation assessment by 3D mesh comparison and tampering detection by comparing viewpoint invariant parcel side surface representations. Dataset and code are available at https://a-nau.github.io/parcel3d.Comment: Accepted at CVPR workshop on Vision-based InduStrial InspectiON (VISION) 2023, see https://vision-based-industrial-inspection.github.io/cvpr-2023

Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics

State-of-the-art approaches in computer vision heavily rely on sufficiently large training datasets. For real-world applications, obtaining such a dataset is usually a tedious task. In this paper, we present a fully automated pipeline to generate a synthetic dataset for instance segmentation in four steps. In contrast to existing work, our pipeline covers every step from data acquisition to the final dataset. We first scrape images for the objects of interest from popular image search engines and since we rely only on text-based queries the resulting data comprises a wide variety of images. Hence, image selection is necessary as a second step. This approach of image scraping and selection relaxes the need for a real-world domain-specific dataset that must be either publicly available or created for this purpose. We employ an object-agnostic background removal model and compare three different methods for image selection: Object-agnostic pre-processing, manual image selection and CNN-based image selection. In the third step, we generate random arrangements of the object of interest and distractors on arbitrary backgrounds. Finally, the composition of the images is done by pasting the objects using four different blending methods. We present a case study for our dataset generation approach by considering parcel segmentation. For the evaluation we created a dataset of parcel photos that were annotated automatically. We find that (1) our dataset generation pipeline allows a successful transfer to real test images (Mask AP 86.2), (2) a very accurate image selection process - in contrast to human intuition - is not crucial and a broader category definition can help to bridge the domain gap, (3) the usage of blending methods is beneficial compared to simple copy-and-paste. We made our full code for scraping, image composition and training publicly available at https://a-nau.github.io/parcel2d.Comment: Accepted at ICMLA 202

One for Many: A Metadata Concept for Mixed Digital Content at a State Archive

The Landesarchiv (State Archive) of Baden-Württemberg has designed and implemented a metadata concept for digital content covering a heterogenous range of digital-born and digitised material. Special attention was given to matters of authenticity and to economic ingest and dissemination methods under the requirements of a public archive. This paper describes the outcome of metadata discussions during the implementation period of the DIMAG repository. It treats integration of the repository’s architecture with the archival classification concept, measures for long-term accessibility, the creation of adapted metadata placement, and provisions for exchange with other applications for ingest and use. The deliberately short list of metadata elements is included in this paper. Some existing standards have been evaluated under a real use environment; this paper also introduces modifications applied to them in the project context

Chasing the hare - Evaluating the phylogenetic utility of a nuclear single copy gene region at and below species level within the species rich group Peperomia (Piperaceae)

Background: The rapidly increasing number of available plant genomes opens up almost unlimited prospects for biology in general and molecular phylogenetics in particular. A recent study took advantage of this data and identified a set of nuclear genes that occur in single copy in multiple sequenced angiosperms. The present study is the first to apply genomic sequence of one of these low copy genes, agt1, as a phylogenetic marker for species-level phylogenetics. Its utility is compared to the performance of several coding and non-coding chloroplast loci that have been suggested as most applicable for this taxonomic level. As a model group, we chose Tildenia, a subgenus of Peperomia (Piperaceae), one of the largest plant genera. Relationships are particularly difficult to resolve within these species rich groups due to low levels of polymorphisms and fast or recent radiation. Therefore, Tildenia is a perfect test case for applying new phylogenetic tools. Results: We show that the nuclear marker agt1, and in particular the agt1 introns, provide a significantly increased phylogenetic signal compared to chloroplast markers commonly used for low level phylogenetics. 25% of aligned characters from agt1 intron sequence are parsimony informative. In comparison, the introns and spacer of several common chloroplast markers (trnK intron, trnK-psbA spacer, ndhF-rpl32 spacer, rpl32-trnL spacer, psbA-trnH spacer) provide less than 10% parsimony informative characters. The agt1 dataset provides a deeper resolution than the chloroplast markers in Tildenia. Conclusions: Single (or very low) copy nuclear genes are of immense value in plant phylogenetics. Compared to other nuclear genes that are members of gene families of all sizes, lab effort, such as cloning, can be kept to a minimum. They also provide regions with different phylogenetic content deriving from coding and non-coding parts of different length. Thus, they can be applied to a wide range of taxonomic levels from family down to population level. As more plant genomes are sequenced, we will obtain increasingly precise information about which genes return to single copy most rapidly following gene duplication and may be most useful across a wide range of plant groups

Film - Körper : Beiträge zu einer somatischen Medientheorie

Prof. Dr. Jens Schröter ist Herausgeber der Reihe und die Herausgeber der einzelnen Hefte sind renommierte Wissenschaftler und -innen aus dem In- und Ausland.Es kann als positives Zeichen für eine immer weiter marginalisiert zu werden drohende Disziplin wie die Filmwissenschaft gelten, dass mit der neuen Ausgabe der medienwissenschaftlichen Schriftenreihe Navigationen nach der Veröffentlichung von High Definition Cinema (Frühjahr 2011) nun erneut – ein Jahr später – ein Sammelband mit filmwissenschaftlichem Fokus vorliegt. Unter dem Titel Film|Körper versammelt er Bausteine zu einer Körpertheorie des Films, die zwischen poststrukturalistischer und phänomenologischer Tradition vermitteln wollen. Es handelt sich bei Film|Körper zugleich um die zweite Publikation des Forschungsprojekts Körpertheorie der Medien, geleitet von Ivo Ritzer (Universität Mainz) und Marcus Stiglegger (Universität Siegen). Eine erste Tagung fand bereits im Oktober 2010 an der Johannes Gutenberg-Universität Mainz statt und resultierte in dem Sammelband Global Bodies. Mediale Repräsentationen des Körpers (2012).

4DMRI-based investigation on the interplay effect for pencil beam scanning proton therapy of pancreatic cancer patients

Background: Time-resolved volumetric magnetic resonance imaging (4DMRI) offers the potential to analyze 3D motion with high soft-tissue contrast without additional imaging dose. We use 4DMRI to investigate the interplay effect for pencil beam scanning (PBS) proton therapy of pancreatic cancer and to quantify the dependency of residual interplay effects on the number of treatment fractions. Methods: Based on repeated 4DMRI datasets for nine pancreatic cancer patients, synthetic 4DCTs were generated by warping static 3DCTs with 4DMRI deformation vector fields. 4D dose calculations for scanned proton therapy were performed to quantify the interplay effect by CTV coverage (v95) and dose homogeneity (d5/d95) for incrementally up to 28 fractions. The interplay effect was further correlated to CTV motion characteristics. For quality assurance, volume and mass conservation were evaluated by Jacobian determinants and volume-density comparisons. Results: For the underlying patient cohort with CTV motion amplitudes < 15 mm, we observed significant correlations between CTV motion amplitudes and both the length of breathing cycles and the interplay effect. For individual fractions, tumor underdosage down to v95 = 70% was observed with pronounced dose heterogeneity (d5/d95 = 1.3). For full × 28 fractionated treatments, we observed a mitigation of the interplay effect with increasing fraction numbers. On average, after seven fractions, a CTV coverage with 95–107% of the prescribed dose was reached with sufficient dose homogeneity. For organs at risk, no significant differences were found between the static and accumulated dose plans for 28 fractions. Conclusion: Intrafractional organ motion exhibits a large interplay effect for PBS proton therapy of pancreatic cancer. The interplay effect correlates with CTV motion, but can be mitigated efficiently by fractionation, mainly due to different breathing starting phases in fractionated treatments. For hypofractionated treatments, a further restriction of motion may be required. Repeated 4DMRI measurements are a viable tool for pre- and post-treatment evaluations of the interplay effect

GI+100: Long Term Preservation of Digital Geographic Information — 16 Fundamental Principles Agreed by National Mapping Agencies and State Archives

This paper states 16 principles for the long term retention and preservation of digital geographic information. The paper is mainly aimed at public sector geographic information providers in Europe (particularly those involved in mapping and cadastre) with the intention of highlighting the significance of fundamental concepts for digital geographic data archiving. Geographic information providers are mainly mapping agencies, but also archives preserving geographic data among a wider range of digital information. A supplementary objective is that the paper may provide useful information for providers of all types of geographic information right around the world. This paper states 16 principles for the long term retention and preservation of digital geographic information. The paper is mainly aimed at public sector geographic information providers in Europe (particularly those involved in mapping and cadastre) with the intention of highlighting the significance of fundamental concepts for digital geographic data archiving. Geographic information providers are mainly mapping agencies, but also archives preserving geographic data among a wider range of digital information. A supplementary objective is that the paper may provide useful information for providers of all types of geographic information right around the world. There are many reasons why people wish to retain access to information, though the main drivers for archiving digital geographic information are meeting legislative requirements, the short and long term exploitation (re-use not only access) of archived data for analyzing social, environmental (e.g. global climate changes) and economic changes over time as well as efficiency savings in managing superseded datasets.  This paper sets out the path and describes what needs to be done now to future-proof the investment government agencies around the world have made in creating digital Geographic Data.