In this paper, an adaptive aggregation stereo matching algorithm based on edge preservation is proposed. The proposed
algorithm uses the edge space information of the image to construct a weight matrix, highlights the role of the straight
line in the edge weight matrix. Furthermore, the algorithm introduces the idea of cross aggregation, and utilizes the edge
weight value to improve the window arm length determination function. Experiments are carried out on Middlebury
stereo matching platform, and the results show that the proposed algorithm can distinguish the cost of pixels in different
regions more effectively, and finally can improve the matching accuracy of the images in all regions.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.