'Local descriptors' diaporamas de présentation

Using the Particle Filter Approach to Building Partial Correspondences between Shapes

Using the Particle Filter Approach to Building Partial Correspondences between Shapes. Rolf Lakaemper, Marc Sobel Temple University, Philadelphia,PA,USA. Part I: Motivation. The Goal: Finding correspondences between feature-points in two (similar) shapes. The Motivation:

992 views • 85 slides

1.01k views • 85 slides

Using the Particle Filter Approach to Building Partial Correspondences between Shapes

Using the Particle Filter Approach to Building Partial Correspondences between Shapes. Rolf Lakaemper, Marc Sobel Temple University, Philadelphia,PA,USA. Part I: Motivation. The Goal: Finding correspondences between feature-points in two (similar) shapes. The Motivation:

851 views • 85 slides

Texture

Texture. Some slides: courtesy of David Jacobs. Examples. Simple textures (material classification): Brodatz dataset. More general textures on unstructured scenes. Dynamic textures. Applications. Classification (Objects and Scene, Material) Segmentation: group regions with same texture

664 views • 66 slides

Selecting Distinctive 3D Shape Descriptors for Similarity Retrieval

Selecting Distinctive 3D Shape Descriptors for Similarity Retrieval. Philip Shilane and Thomas Funkhouser. Computer Graphics (Princeton Shape Benchmark). Mechanical CAD (National Design Repository). Molecular Biology (Protein Databank). Large Databases of 3D Shapes. Shape Retrieval.

545 views • 54 slides

Local Image Features

Local Image Features. Read Szeliski 4.1. Computer Vision CS 143, Brown James Hays. Acknowledgment: Many slides from Derek Hoiem and Grauman&Leibe 2008 AAAI Tutorial. This section: correspondence and alignment. Correspondence: matching points, patches, edges, or regions across images.

514 views • 50 slides

698 views • 44 slides

Mixtures of Gaussians and Advanced Feature Encoding

586 views • 42 slides

Mixtures of Gaussians and Advanced Feature Encoding

425 views • 42 slides

Visual Object Recognition

Visual Object Recognition. Bastian Leibe & Computer Vision Laboratory ETH Zurich Chicago, 14.07.2008. Kristen Grauman Department of Computer Sciences University of Texas in Austin. Outline. Detection with Global Appearance & Sliding Windows

524 views • 41 slides

Visual Object Recognition

Visual Object Recognition. Bastian Leibe & Computer Vision Laboratory ETH Zurich Chicago, 14.07.2008. Kristen Grauman Department of Computer Sciences University of Texas in Austin. Outline. Detection with Global Appearance & Sliding Windows

558 views • 41 slides

Automatic Target Recognition in high resolution Optical Aerial Images

Automatic Target Recognition in high resolution Optical Aerial Images. Xavier PERROTTON Marc STURZEL Michel ROUX Xavier.perrotton@eads.com marc.sturzel@eads.com michel.roux@enst.fr Image & Signal Processing Laboratory Telecom Paris.

381 views • 16 slides