3D MODEL RETRIEVAL METHOD AND SYSTEM

• US 20090138468A1
• Filed: 11/26/2008
• Published: 05/28/2009
• Est. Priority Date: 11/27/2007
• Status: Abandoned Application

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: KURIHARA, Tsuneya
• Application Number:
  US12/323,494
• Publication Number:
  US 20090138468A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/5838 using colour

Abstract

The present invention provides a 3D model retrieval system designed to extract feature vectors of 3D models to retrieve a similar model. Image feature vectors are extracted by subjecting target 3D models to rendering from various directions by using a random rotation generator and a 2D image generator. Then, the image feature vectors are registered in an image feature vectors database. Image feature vectors are extracted by subjecting a query 3D model to rendering from various directions by using another random rotation generator and another 2D image generator. The image feature vectors are compared to the contents of the image feature vectors database, thereby retrieving a 3D model.

Claims

1. A 3D model retrieval system, comprising:

a first 2D image generator that generates 2D images for each of a plurality of retrieval-target 3D models as viewed in a plurality of directions, by rotating the plurality of retrieval-target 3D models by use of random numbers;

a first feature vector extraction that extracts image feature vectors from the 2D images generated by the first 2D image generator;

a second 2D image generator that generates 2D images for a query 3D model as viewed in a plurality of directions, by rotating the query 3D model by use of random numbers;

a second feature vector extraction that extracts image feature vectors from the 2D images generated by the second 2D image generator; and

a similarity retrieval that retrieves a 3D model similar to the query 3D model by calculating the distance between the query 3D model and each of the retrieval-target 3D models, using the feature vectors extracted by the first feature vector extraction and the feature vectors extracted by the second feature vector extraction.

2. The 3D model retrieval system according to claim 1, wherein the 2D images generated by the first 2D image generator and by the second 2D image generator are any one of or a combination of silhouette images, shaded images and depth images.

3. The 3D model retrieval system according to claim 1, wherein the 2D images generated by the first 2D image generator and by the second 2D image generator are shaded images having any one of or both of a color and a texture.

4. The 3D model retrieval system according to claim 1, wherein as the distance between the query 3D model and each of the retrieval-target 3D models, the similarity retrieval uses the sum of minimum distances between each of N_s image feature vectors extracted by the second feature vector extraction and N_r image feature vectors extracted for each 3D model by the first feature vector extraction.

5. The 3D model retrieval system according to claim 4, wherein the similarity retrieval selects a plurality of image feature vectors from among the N_s image feature vectors and also selects a plurality of image feature vectors from among the N_r image feature vectors, calculates the approximate distance between the query 3D model and each of the retrieval-target 3D models by using sets of the selected image feature vectors, and performs 3D model retrieval only on higher-order 3D models having the close approximate distance.