1 / 7

Shape Analysis and Retrieval

This article explores light field descriptors for shape analysis and retrieval, including their properties, representation models, and comparison methods.

erinweaver
Download Presentation

Shape Analysis and Retrieval

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Shape Analysis and Retrieval Light Field Descriptors Notes courtesy of Funk et al., SIGGRAPH 2004

  2. Light Field Descriptor For every view direction, store the image the viewer would see when looking at the origin.

  3. Light Field Descriptor Hybrid boundary/volume representation Model Image Boundary Volume

  4. Light Field Descriptor Represents a model by its Visual Hull: Matusik et al., Image-Based Visual Hulls, SIGGRAPH 2000 http://graphics.csail.mit.edu/~wojciech/vh/vhoverview.html

  5. Light Field Descriptor Properties: • Represents the visual hull of the model • 4D array of information • Can be defined for most models Point Clouds Polygon Soups Closed Meshes Genus-0 Meshes Shape Spectrum

  6. Light Field Descriptor Properties: • Can be defined for most models • Invertible for star-shaped models • 4D array of information • Similarity = sum of area and contour similarities • There is a well defined interior • Can parameterize contours in 2D + Area Comparison Contour Comparison

  7. Retrieval Results Precision Recall

More Related