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Visual Learning and Recognition: Difference between revisions
Visual Learning and Recognition (view source)
Revision as of 18:48, 17 November 2020
, 17 November 2020→Objects + 3D
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==Objects + 3D== | ==Objects + 3D== | ||
* Rasterized 3D representations: | |||
** multi-view images | |||
** depth maps | |||
** volumetric (voxels) | |||
* Geometric 3D representations: | |||
** mesh | |||
** point cloud | |||
** CAD models | |||
** primitive-based CAD models | |||
;Datasets | |||
* Pascal 3D | |||
* ObjectNet3D | |||
* ShapeNet | |||
* Matterport3D | |||
Rough 3D reconstruction: | |||
* Do classification & segmentation using a NN. | |||
* Fix existing CAD model to the image. | |||
Shape carving: | |||
* Assume everything is cubeoids and remove cubes. | |||
==Will be on the exam== | ==Will be on the exam== | ||