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Image feature extraction and similarity measurement method used for three-dimensional city model retrieval

An image feature extraction and similarity measurement technology, applied in the field of spatial information, can solve the problems of restricting the development of building model search applications and low image/3D model retrieval accuracy

Inactive Publication Date: 2014-10-08
BEIJING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

Retrieval based on model features is conducive to directly locating the model to be retrieved in the scene, but the features extracted by most image and 3D model retrieval methods lack or ignore the description of model details, resulting in low image / 3D model retrieval accuracy, to a large extent. limits the development of architectural model search applications

Method used

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  • Image feature extraction and similarity measurement method used for three-dimensional city model retrieval
  • Image feature extraction and similarity measurement method used for three-dimensional city model retrieval
  • Image feature extraction and similarity measurement method used for three-dimensional city model retrieval

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Embodiment 1

[0146] In order to verify the performance of the patented method, the inventor collected 15,246 3D city models from Google 3D Warehouse and Princeton University's PSB 3D model data set. The models are divided into four categories: towers, bridges, stadiums, and buildings.

[0147] Before feature extraction, CNN is trained to obtain appropriate network structure parameters. 90% of the models in the 3D city model library are used for training, and 10% of the models are used for testing. Using CNN for classification accuracy detection, the classification accuracy reached 96%. Use the trained CNN structure combined with spatial constraints to extract the features of the model.

[0148] figure 2 The changes of the nearest neighbor score (Nearest Neighbor Score, NNS for short) of the following six different methods under different nearest neighbor numbers (Nearest Neighbor Number) are given. Use the precision-recall curve to evaluate the similarity measurement method of the pres...

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Abstract

The invention relates to an image feature extraction and similarity measurement method used for three-dimensional city model retrieval. Features extracted through most image and three-dimensional model retrieval methods lack or ignore description of model details, and accordingly, the three-dimensional model retrieval precision is not high. The invention provides a three-dimensional city model retrieval frame based on images. Firstly, retrieval targets on the images are obtained through division, meanwhile, a light field is used for conducting two-dimensional exchanging on three-dimensional city models, features of query targets and features of the retrieval model images are extracted, finally, the similarity between the features is measured through the similarity distance, and three-dimensional city model retrieval is realized. The image feature extraction and similarity measurement method has the advantages that the three-layer frame for image feature extraction and similarity measurement is provided, multiple layers of multi-scale convolutional neural network models with spatial constraints are designed in the frame, and the distinguishable features with invariable displacement, scales and deformation are obtained; a novel similarity measurement method is provided, and similarity matching between the targets is better realized. Compared with an existing method, the efficiency and the precision of the method in three-dimensional city model retrieval are greatly improved.

Description

1. Technical field [0001] The invention relates to an image feature extraction and similarity measurement method for three-dimensional city model retrieval, belonging to the technical field of spatial information. 2. Background technology [0002] With the innovation of spatial data acquisition technology and the development of the Internet, the types and quantities of urban 3D models are becoming more and more abundant. Many websites (such as Google 3D Warehouse) and platforms also provide 3D model sharing functions for users to download for free. The retrieval of 3D models has become an important technical means to efficiently obtain 3D models. Due to different shooting conditions and shooting angles, pictures often contain complex backgrounds, and different storage directions of 3D models and different lighting conditions will cause great changes in the surface texture and color of the model, which brings challenges to image-based 3D model retrieval. . The traditional k...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/583G06V20/64
Inventor 张立强王跃宾张良
Owner BEIJING NORMAL UNIVERSITY
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