Wörgötter, Florentin Andreas

[["dc.bibliographiccitation.firstpage","379"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","International Journal of Humanoid Robotics"],["dc.bibliographiccitation.lastpage","405"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Pugeault, Nicolas"],["dc.contributor.author","Woergoetter, Florentin"],["dc.contributor.author","Krueger, Norbert"],["dc.date.accessioned","2018-11-07T08:39:45Z"],["dc.date.available","2018-11-07T08:39:45Z"],["dc.date.issued","2010"],["dc.description.abstract","We present a novel representation of visual information, based on local symbolic descriptors, that we call visual primitives. These primitives: (1) combine different visual modalities, (2) associate semantic to local scene information, and (3) reduce the bandwidth while increasing the predictability of the information exchanged across the system. This representation leads to the concept of early cognitive vision that we define as an intermediate level between dense, signal-based early vision and high-level cognitive vision. The framework's potential is demonstrated in several applications, in particular in the area of robotics and humanoid robotics, which are briefly outlined."],["dc.identifier.doi","10.1142/S0219843610002209"],["dc.identifier.isi","000284230200004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19072"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","World Scientific Publ Co Pte Ltd"],["dc.relation.issn","1793-6942"],["dc.relation.issn","0219-8436"],["dc.title","VISUAL PRIMITIVES: LOCAL, CONDENSED, SEMANTICALLY RICH VISUAL DESCRIPTORS AND THEIR APPLICATIONS IN ROBOTICS"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","293"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Natural Computing"],["dc.bibliographiccitation.lastpage","321"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Woergoetter, Florentin"],["dc.contributor.author","Krüger, Norbert"],["dc.contributor.author","Pugeault, Nicolas"],["dc.contributor.author","Calow, Dirk"],["dc.contributor.author","Lappe, Markus"],["dc.contributor.author","Pauwels, Karl"],["dc.contributor.author","van Hulle, Marc M."],["dc.contributor.author","Tan, Sovira"],["dc.contributor.author","Johnston, Alan"],["dc.date.accessioned","2017-09-07T11:45:29Z"],["dc.date.available","2017-09-07T11:45:29Z"],["dc.date.issued","2004"],["dc.description.abstract","The goal of this review is to discuss different strategies employed by the visual system to limit data-flow and to focus data processing. These strategies can be hard-wired, like the eccentricity-dependent visual resolution or they can be dynamically changing like mechanisms of visual attention. We will ask to what degree such strategies are also useful in a computer vision context. Specifically we will discuss, how to adapt them to technical systems where the substrate for the computations is vastly different from that in the brain. It will become clear that most algorithmic principles, which are employed by natural visual systems, need to be reformulated to better fit to modern computer architectures. In addition, we will try to show that it is possible to employ multiple strategies in parallel to arrive at a flexible and robust computer vision system based on recurrent feedback loops and using information derived from the statistics of natural images."],["dc.identifier.doi","10.1023/b:naco.0000036817.38320.fe"],["dc.identifier.gro","3151779"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8605"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1567-7818"],["dc.title","Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e10663"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","PloS one"],["dc.bibliographiccitation.lastpage","e10663"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Pugeault, Nicolas"],["dc.contributor.author","Wörgötter, Florentin"],["dc.contributor.author","Krüger, Norbert"],["dc.date.accessioned","2019-07-09T11:53:16Z"],["dc.date.available","2019-07-09T11:53:16Z"],["dc.date.issued","2010-04-20"],["dc.description.abstract","In its early stages, the visual system suffers from a lot of ambiguity and noise that severely limits the performance of early vision algorithms. This article presents feedback mechanisms between early visual processes, such as perceptual grouping, stereopsis and depth reconstruction, that allow the system to reduce this ambiguity and improve early representation of visual information. In the first part, the article proposes a local perceptual grouping algorithm that - in addition to commonly used geometric information - makes use of a novel multi-modal measure between local edge/line features. The grouping information is then used to: 1\\) disambiguate stereopsis by enforcing that stereo matches preserve groups; and 2\\) correct the reconstruction error due to the image pixel sampling using a linear interpolation over the groups. The integration of mutual feedback between early vision processes is shown to reduce considerably ambiguity and noise without the need for global constraints."],["dc.identifier.doi","10.1371/journal.pone.0010663"],["dc.identifier.fs","580961"],["dc.identifier.pmid","20544006"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7201"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60384"],["dc.language.iso","en"],["dc.notes","The work described in this paper was funded by the European projects PACOplus and IRFO. Florentin Woergoetter acknowledges funding by the\r\nBernstein Center for Computational Neuroscience, Göttingen. The funders had no role in study design, data collection and analysis, decision to publish, or\r\npreparation of the manuscript."],["dc.notes.intern","Merged from goescholar"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/027657"],["dc.relation.euproject","PACO-PLUS"],["dc.relation.issn","1932-6203"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 2.5"],["dc.rights.access","openAccess"],["dc.rights.uri","http://creativecommons.org/licenses/by/2.5/"],["dc.subject.mesh","Algorithms"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Visual Perception"],["dc.title","Disambiguating multi-modal scene representations using perceptual grouping constraints."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","165"],["dc.bibliographiccitation.lastpage","188"],["dc.contributor.author","Wörgötter, Florentin"],["dc.contributor.author","Suder, Katrin"],["dc.contributor.author","Pugeault, Nicolas"],["dc.contributor.author","Funke, Klaus"],["dc.contributor.editor","Buracas, G. T."],["dc.contributor.editor","Ruksenas, O."],["dc.contributor.editor","Boyton, G. M."],["dc.contributor.editor","Albright, T. D."],["dc.date.accessioned","2017-11-22T13:04:43Z"],["dc.date.available","2017-11-22T13:04:43Z"],["dc.date.issued","2003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10195"],["dc.language.iso","en"],["dc.notes.status","new -primates"],["dc.publisher","Springer"],["dc.publisher.place","Heidelberg"],["dc.relation.ispartof","Life and Behavioral Sciences"],["dc.title","Response characteristics in the lateral geniculate nucleus and their primary afferent influences on the visual cortex of cat. Modulation of Neuronal Responses: Implications for Active Vision"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","247"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","International Journal of Humanoid Robotics"],["dc.bibliographiccitation.lastpage","265"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Kraft, Dirk"],["dc.contributor.author","Pugeault, Nicolas"],["dc.contributor.author","Baseski, Emre"],["dc.contributor.author","Popovic, Mila"],["dc.contributor.author","Kragic, Danica"],["dc.contributor.author","Kalkan, Sinan"],["dc.contributor.author","Woergoetter, Florentin"],["dc.contributor.author","Krueger, Norbert"],["dc.date.accessioned","2018-11-07T11:14:31Z"],["dc.date.available","2018-11-07T11:14:31Z"],["dc.date.issued","2008"],["dc.description.abstract","We describe a process in which the segmentation of objects as well as the extraction of the object shape becomes realized through active exploration of a robot vision system. In the exploration process, two behavioral modules that link robot actions to the visual and haptic perception of objects interact. First, by making use of an object independent grasping mechanism, physical control over potential objects can be gained. Having evaluated the initial grasping mechanism as being successful, a second behavior extracts the object shape by making use of prediction based on the motion induced by the robot. This also leads to the concept of an \"object\" as a set of features that change predictably over different frames. The system is equipped with a certain degree of generic prior knowledge about the world in terms of a sophisticated visual feature extraction process in an early cognitive vision system, knowledge about its own embodiment as well as knowledge about geometric relationships such as rigid body motion. This prior knowledge allows the extraction of representations that are semantically richer compared to many other approaches."],["dc.description.sponsorship","European Commission"],["dc.identifier.doi","10.1142/S021984360800139X"],["dc.identifier.isi","000260488500006"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/54138"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","World Scientific Publ Co Pte Ltd"],["dc.relation.issn","0219-8436"],["dc.title","BIRTH OF THE OBJECT: DETECTION OF OBJECTNESS AND EXTRACTION OF OBJECT SHAPE THROUGH OBJECT-ACTION COMPLEXES"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

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