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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More


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teaching:ss2014:lecture_shape_analysis [2014/07/21 17:43]
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teaching:ss2014:lecture_shape_analysis [2015/02/11 12:11]
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 ^ Date ^ Slides ^ Exercise ^ Reading ^ ^ Date ^ Slides ^ Exercise ^ Reading ^
-|Mon. 07.04.2014|{{:teaching:ss2014:lecture_shape_analysis:01_-_introduction.pdf|Introduction}}| {{:teaching:ss2014:lecture_shape_analysis:sheet1.pdf|Exercise Sheet 1}} ({{:teaching:ss2014:lecture_shape_analysis:sheet1_solution.pdf|solution}}) {{:teaching:ss2014:lecture_shape_analysis:exercise1.zip|Matlab Exercise Code}} ({{:teaching:ss2014:lecture_shape_analysis:exercise1_solution.zip|solution}})|[BBK]| +|Mon. 07.04.2014|{{:teaching:ss2014:lecture_shape_analysis:01_-_introduction.pdf|Introduction}}| {{:teaching:ss2014:lecture_shape_analysis:sheet1.pdf|Exercise Sheet 1}}  {{:teaching:ss2014:lecture_shape_analysis:exercise1.zip|Matlab Exercise Code}} |[BBK]| 
-|Mon. 14.04.2014|{{:teaching:ss2014:lecture_shape_analysis:02_-_shapes_as_metric_spaces.pdf|Shapes as Metric Spaces}}|{{:teaching:ss2014:lecture_shape_analysis:sheet2.pdf|Exercise Sheet 2}} ({{:teaching:ss2014:lecture_shape_analysis:sheet2_solution.pdf|solution}}) {{:teaching:ss2014:lecture_shape_analysis:exercise2.zip|Matlab Exercise Code}} ({{:teaching:ss2014:lecture_shape_analysis:exercise2_solution.zip|solution}})|[BBK] [BBI] [[https://people.math.osu.edu/memoli.2/papers/dgh-euclidean.pdf|[M08]]] [[https://people.math.osu.edu/memoli.2/papers/dgh-sgp04.pdf|[MS04]]] [[https://people.math.osu.edu/memoli.2/papers/dghlp-PBG-fin.pdf|[M07]]]| +|Mon. 14.04.2014|{{:teaching:ss2014:lecture_shape_analysis:02_-_shapes_as_metric_spaces.pdf|Shapes as Metric Spaces}}|{{:teaching:ss2014:lecture_shape_analysis:sheet2.pdf|Exercise Sheet 2}} {{:teaching:ss2014:lecture_shape_analysis:exercise2.zip|Matlab Exercise Code}} |[BBK] [BBI] [[https://people.math.osu.edu/memoli.2/papers/dgh-euclidean.pdf|[M08]]] [[https://people.math.osu.edu/memoli.2/papers/dgh-sgp04.pdf|[MS04]]] [[https://people.math.osu.edu/memoli.2/papers/dghlp-PBG-fin.pdf|[M07]]]| 
-|Thur. 24.04.2014|{{:teaching:ss2014:lecture_shape_analysis:03_-_the_assignment_problem.pdf|The Assignment Problem}}|{{:teaching:ss2014:lecture_shape_analysis:sheet3.pdf|Exercise Sheet 3}} ({{:teaching:ss2014:lecture_shape_analysis:sheet3_solution.pdf|solution}}) {{:teaching:ss2014:lecture_shape_analysis:exercise3.zip|Matlab Exercise Code}} ({{:teaching:ss2014:lecture_shape_analysis:exercise3_solution.zip|solution}})|[[https://people.math.osu.edu/memoli.2/papers/dghlp-PBG-fin.pdf|[M07]]] [[http://www.ri.cmu.edu/pub_files/pub4/leordeanu_marius_2005_1/leordeanu_marius_2005_1.pdf|[LH05]]] [[http://vision.in.tum.de/_media/spezial/bib/rodola-cvpr12.pdf|[RB12]]]|+|Thur. 24.04.2014|{{:teaching:ss2014:lecture_shape_analysis:03_-_the_assignment_problem.pdf|The Assignment Problem}}|{{:teaching:ss2014:lecture_shape_analysis:sheet3.pdf|Exercise Sheet 3}}{{:teaching:ss2014:lecture_shape_analysis:exercise3.zip|Matlab Exercise Code}} |[[https://people.math.osu.edu/memoli.2/papers/dghlp-PBG-fin.pdf|[M07]]] [[http://www.ri.cmu.edu/pub_files/pub4/leordeanu_marius_2005_1/leordeanu_marius_2005_1.pdf|[LH05]]] [[http://vision.in.tum.de/_media/spezial/bib/rodola-cvpr12.pdf|[RB12]]]|
 |Mon. 05.05.2014|{{:teaching:ss2014:lecture_shape_analysis:04_-_euclidean_embeddings.pdf|Euclidean Embeddings}}||[BBK]| |Mon. 05.05.2014|{{:teaching:ss2014:lecture_shape_analysis:04_-_euclidean_embeddings.pdf|Euclidean Embeddings}}||[BBK]|
 |Thur. 08.05.2014|{{:teaching:ss2014:lecture_shape_analysis:05_-_differential_geometry.pdf|Differential Geometry I}}||[DC] [K]| |Thur. 08.05.2014|{{:teaching:ss2014:lecture_shape_analysis:05_-_differential_geometry.pdf|Differential Geometry I}}||[DC] [K]|
-|Thur. 15.05.2014|{{:teaching:ss2014:lecture_shape_analysis:06_-_differential_geometry_ii.pdf|Differential Geometry II}}|{{:teaching:ss2014:lecture_shape_analysis:sheet4.pdf|Exercise Sheet 4}}({{:teaching:ss2014:lecture_shape_analysis:sheet4_solution.pdf|solution}})  {{:teaching:ss2014:lecture_shape_analysis:exercise4.zip|Matlab Exercise Code}}({{:teaching:ss2014:lecture_shape_analysis:exercise4_solution.zip|solution}})|[DC] [K]|+|Thur. 15.05.2014|{{:teaching:ss2014:lecture_shape_analysis:06_-_differential_geometry_ii.pdf|Differential Geometry II}}|{{:teaching:ss2014:lecture_shape_analysis:sheet4.pdf|Exercise Sheet 4}}  {{:teaching:ss2014:lecture_shape_analysis:exercise4.zip|Matlab Exercise Code}}|[DC] [K]|
 |Thur. 22.05.2014|{{:teaching:ss2014:lecture_shape_analysis:07_-_isometries.pdf|Isometries}}||[DC]| |Thur. 22.05.2014|{{:teaching:ss2014:lecture_shape_analysis:07_-_isometries.pdf|Isometries}}||[DC]|
-|Mon. 26.05.2014|{{:teaching:ss2014:lecture_shape_analysis:08_-_laplacian.pdf|The Laplacian}}|{{:teaching:ss2014:lecture_shape_analysis:sheet5.pdf|Exercise Sheet 5}}({{:teaching:ss2014:lecture_shape_analysis:sheet5_solution.pdf|solution}})  {{:teaching:ss2014:lecture_shape_analysis:exercise5.zip|Matlab Exercise Code}}({{:teaching:ss2014:lecture_shape_analysis:exercise5_solution.zip|solution}})|[[http://brickisland.net/cs177/?p=309|[C]]] [[http://wwwmath.uni-muenster.de/num/Vorlesungen/WissenschaftlichesRechnen_WS1213/Dateien/Fem-intro.pdf|[G]]]|+|Mon. 26.05.2014|{{:teaching:ss2014:lecture_shape_analysis:08_-_laplacian.pdf|The Laplacian}}|{{:teaching:ss2014:lecture_shape_analysis:sheet5.pdf|Exercise Sheet 5}} {{:teaching:ss2014:lecture_shape_analysis:exercise5.zip|Matlab Exercise Code}}|[[http://brickisland.net/cs177/?p=309|[C]]] [[http://wwwmath.uni-muenster.de/num/Vorlesungen/WissenschaftlichesRechnen_WS1213/Dateien/Fem-intro.pdf|[G]]]|
 |Thur. 05.06.2014|{{:teaching:ss2014:lecture_shape_analysis:09_-_intrinsic_shape_descriptors.pdf|Intrinsic Shape Descriptors}}||[[https://sites.google.com/site/raifrustamov/downloads/SGP2007.pdf?attredirects=0|[R07]]] [[http://www.geomtop.org/paper_ppt/multiscale_htker.pdf|[SOG09]]]| |Thur. 05.06.2014|{{:teaching:ss2014:lecture_shape_analysis:09_-_intrinsic_shape_descriptors.pdf|Intrinsic Shape Descriptors}}||[[https://sites.google.com/site/raifrustamov/downloads/SGP2007.pdf?attredirects=0|[R07]]] [[http://www.geomtop.org/paper_ppt/multiscale_htker.pdf|[SOG09]]]|
 |Thur. 12.06.2014|{{:teaching:ss2014:lecture_shape_analysis:10_-_functional_maps.pdf|Functional Maps}}||[[http://www.lix.polytechnique.fr/~maks/papers/obsbg_fmaps.pdf|[OBSBG12]]]| |Thur. 12.06.2014|{{:teaching:ss2014:lecture_shape_analysis:10_-_functional_maps.pdf|Functional Maps}}||[[http://www.lix.polytechnique.fr/~maks/papers/obsbg_fmaps.pdf|[OBSBG12]]]|
 |Thur. 26.06.2014|{{:teaching:ss2014:lecture_shape_analysis:11_-_intrinsic_metrics.pdf|Intrinsic Metrics}}||[[http://www.pnas.org/content/102/21/7426.long|[CL05]]] [[http://www.zbp.univie.ac.at/dokumente/einstein2.pdf|[E05]]]| |Thur. 26.06.2014|{{:teaching:ss2014:lecture_shape_analysis:11_-_intrinsic_metrics.pdf|Intrinsic Metrics}}||[[http://www.pnas.org/content/102/21/7426.long|[CL05]]] [[http://www.zbp.univie.ac.at/dokumente/einstein2.pdf|[E05]]]|
 |Thur. 03.07.2014|(Very) Recent Advances on Shape Analysis||{{:teaching:ss2014:lecture_shape_analysis:papers.zip|download}}| |Thur. 03.07.2014|(Very) Recent Advances on Shape Analysis||{{:teaching:ss2014:lecture_shape_analysis:papers.zip|download}}|

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More