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3DOR'11 is over. It was interesting to see all that work done by different groups. To shortly summarize: Heat Kernel Signatures as also Bag-of-Words approaches seems to be favourized in Shape Retrieval community!
at, 6 years ago  
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the shrec'11 tracks summarize results of the benchmark.
at, 6 years ago  
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last session is commited to SHREC Benchmarks. First talk in last session: SHREC'11 Track - Generic Shape Retrieval
at, 6 years ago  
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next: Poster Session Fast Forward
at, 6 years ago  
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next work is similar to the previous one, however in this case authors evaluate different feature point detectors. As ground truth they use "human-based" detector (people were asked to choose feature points).
at, 6 years ago  
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interesting result of the previous work is, that mean curvature descriptors seams to work best, which is contradict our experience. I suppose this is because of the lack of non-rigid deformation experiments.
at, 6 years ago  
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next one: Evaluation of 3D Interest Point Detection Techniques
at, 6 years ago  
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the paper provides a comparison between different local shape descriptors. Data sets used include biological as well mechanical data.
at, 6 years ago  
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next paper: Local shape descriptors, a survey and evaluation.
at, 6 years ago  
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uniformly distributed interest points combined with local fourier spectrum descriptors are used to compute bag of features. afterwards this codebook is used to compare shapes
at, 6 years ago  
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first talk after lunch: Bag of Words and Local Spectral Descriptor for 3D Partial Shape Retrievel
at, 6 years ago  
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first talk after lunch: Bag of Words and Local Spectral Descriptor for 3D Partial Shape Retrievel
at, 6 years ago  
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authors use heat kernels for feature detection (local maxima of autodiffusion function) and heat kernel signatures as descriptors. Training classifiers helps to classify feature points. application: autom. measurement of a human.
at, 6 years ago  
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next talk: Heat diffusion approach for feature-based body scans annalysis.
at, 6 years ago  
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the work combines graph matching with conformal factors as descriptors (local score of a region how much "power" you need to deform it to a sphere - so I suppose it measures uniformity of angles between normals).
at, 6 years ago  
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next talk: ConTopo: Non-Rigid 3D Object Retrieval using Topological Information guided by Conformal Factors
at, 6 years ago  
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a method for shape matching in biology, so even for non-isometric deformation. do this by mapping a surface to a grid plane and compute deformation of the parametrisation in the new domain, so "undo the stretching".
at, 6 years ago  
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next talk: Refining shape correspondence for similar objects using strain
at, 6 years ago  
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a hardware device using line strip method in infrared domain in order to retrieve faces. the system includes a software part to fill holes. system developed from scratch. system do eye tracking to decide when to take a snapshot for 3d reconstruction.
at, 6 years ago  
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next talk Real-Time 3D Face Recognition using Line Projection and Mesh Sampling.
at, 6 years ago  
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Keynote speaker today is Prof. Michael Bronstein. He gave an overview over the heat kernel descriptors and extensions for it they are working on,i.e.e incorporating color and volume.
at, 6 years ago  
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Today I am participating in 3DOR11 - workshop on 3D object retrieval. I'll post here an overview over the given talks.
at, 6 years ago  
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