A Bag of Features Approach for 3D Shape Retrieval

In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D image retrieval. We extent this approach from 2D images to 3D shapes. Following the BoF outline, we address the necessary modifications for the 3D extension and present novel solutions for the parameterization of 3D patches, a 3D rotation invariant similarity measure for these patches and a method for the codebook generation. We experimentally evaluate the performance of our methods on the Princeton Shape Benchmark.

• Type: Conference
• Year: 2009
• Where: ISVC
• Authors: Janis Fehr, Alexander Streicher, Hans Burkhardt
• Keywords: Applied Computing, BoF Approach, BoF Outline, ISVC 2009, Shape Retrieval Problems