Similarity Based Object Retrieval of Composite Neuronal Structures (English)

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Circuit Neuroscience tries to solve one of the most challenging questions in biology: How does the brain work? An important step towards an answer to this question is to gather detailed knowledge about the neuronal circuits of the model organism Drosophila melanogaster. Geometric representations of neuronal objects of the Drosophila are acquired using molecular genetic methods, confocal microscopy, non-rigid registration and segmentation. These objects are integrated into a constantly growing common atlas. The comparison of new segmented neurons to already known neurons is a frequent task which evolves with a growing amount of data into a bottleneck of the knowledge discovery process. Thus, the exploration of the atlas by means of domain specific similarity measures becomes a pressing need. To enable similarity based retrieval of neuronal objects we defined together with domain experts tailored dissimilarity measures for each of the three typical neuronal sub structures cell body, projection, arborization. The dissimilarity measure for composite neurons has been defined as domain specific combination of the sub structure dissimilarities. According to domain experts the developed system has big advantages for all tasks which involve extensive data exploration.

  • Title:
    Similarity Based Object Retrieval of Composite Neuronal Structures
  • Author / Creator:
  • Published in:
  • Publisher:
    The Eurographics Association
  • Place of publication:
    Postfach 8043, 38621 Goslar, Germany
  • Year of publication:
    2012
  • Size:
    8 pages
  • ISBN:
  • ISSN:
  • DOI:
  • Type of media:
    Conference paper
  • Type of material:
    Electronic Resource
  • Language:
    English
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Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Similarity Based Object Retrieval of Composite Neuronal Structures
Schulze, Florian / Trapp, Martin / Bühler, Katja / Lui, Tianxiao / Dickson, Barry | 2012
9
3D Object Retrieval via Range Image Queries based on SIFT descriptors on Panoramic Views
Sfikas, Konstantinos / Pratikakis, Ioannis / Theoharis, Theoharis | 2012
17
Parallelized Algorithms for Rigid Surface Alignment on GPU
Zabatani, Aviad / Bronstein, Alex M. | 2012
25
Key-component Detection on 3D Meshes using Local Features
Sipiran, Ivan / Bustos, Benjamin | 2012
33
Intrinsic Local Symmetries: A Computational Framework
Grushko, Carmi / Raviv, Dan / Kimmel, Ron | 2012
39
Affine-Invariant Photometric Heat Kernel Signatures
Kovnatsky, Artiom / Bronstein, Michael M. / Bronstein, Alexander M. / Raviv, Dan / Kimmel, Ron | 2012
47
Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation
Saavedra, Jose M. / Bustos, Benjamin / Schreck, Tobias / Yoon, Sang Min / Scherer, Maximiliam | 2012
51
Towards an Immersive Interface for 3D Object Retrieval
Pascoal, Pedro / Ferreira, Alfredo / Jorge, Joaquim | 2012
55
Local Goemetrical Feature with Spatial Context for Shape-based 3D Model Retrieval
Kawamura, Shun / Usui, Kazuya / Furuya, Takahiko / Ohbuchi, Ryutarou | 2012
59
Spectral Analysis Driven Sparse Matching of 3D Shapes
Darom, Tal / Keller, Yosi | 2012
63
Effective Shapes Generation for Bayesian CAD Model Reconstruction
Bey, Aurelien / Chaine, Raphaelle / Marc, Raphael / Thibault, Guillaume | 2012
67
Automated Contextual Annotation of B-Rep Cad Mechanical Components Deriving Technology and Symmetry Information to Support Partial Retrieval
Li, K. / Shahwan, A. / Trlin, M. / Foucault, G. / Léon, Jean-Claude | 2012
71
Kinematic Skeleton Extraction Based on Motion Boundaries for 3D Dynamic Meshes
Benhabiles, Halim / Lavoué, Guillaume / Vandeborre, Jean-Philippe / Daoudi, Mohamed | 2012
77
Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization
Rosman, Guy / Bronstein, Alexander M. / Bronstein, Michael M. / Kimmel, Ron | 2012
85
Real-time Expression Recognition from Dynamic Sequences of 3D Facial Scans
Berretti, Stefano / Bimbo, Alberto del / Pala, Pietro | 2012
93
SHREC'12 Track: 3D Mesh Segmentation
Lavoué, G. / Vandeborre, J-P. / Benhabiles, H. / Daoudi, M. / Huebner, K. / Mortara, M. / Spagnuolo, M. | 2012
101
SHREC'12 Track: Stability on Abstract Shapes
Biasotti, S. / Bai, X. / Bustos, B. / Cerri, A. / Giorgi, D. / Li, L. / Mortara, M. / Sipiran, I. / Zhang, S. / Spagnuolo, M. | 2012
109
SHREC'12 Track: Sketch-Based 3D Shape Retrieval
Li, B. / Schreck, T. / Godil, A. / Alexa, M. / Boubekeur, T. / Bustos, B. / Chen, J. / Eitz, M. / Furuya, T. / Hildebrand, K. et al. | 2012
119
SHREC'12 Track: Generic 3D Shape Retrieval
Li, B. / Godil, A. / Aono, M. / Bai, X. / Furuya, T. / Li, L. / López-Sastre, R. / Johan, H. / Ohbuchi, R. / Redondo-Cabrera, C. et al. | 2012
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