Understanding Virtual Reality: Interface, Application, and Design
Understanding Virtual Reality: Interface, Application, and Design
Developing virtual environments for industrial training
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Interactive virtual environments and distance education
Applications of a direct algorithm for the rectification of uncalibrated images
Information Sciences—Informatics and Computer Science: An International Journal
Stereo Using Monocular Cues within the Tensor Voting Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Łukasiewicz transform and its application to compression and reconstruction of digital images
Information Sciences: an International Journal
A new class of Zernike moments for computer vision applications
Information Sciences: an International Journal
Depth estimation using monocular and stereo cues
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Texture as the basis for individual tree identification
Information Sciences: an International Journal
On various eigen fuzzy sets and their application to image reconstruction
Information Sciences: an International Journal
A new feature extractor invariant to intensity, rotation, and scaling of color images
Information Sciences: an International Journal
Estimation of F-Matrix and image rectification by double quaternion
Information Sciences: an International Journal
Robotics and Autonomous Systems
Hi-index | 0.07 |
Research on planar-to-stereo image conversion has significant theoretical and practical implications for image processing. In this paper we use a method which segments an image into sub-blocks to perform this kind of conversion; parameters such as random variables are used for conversion control. We use two quantitative criteria, cross-entropy and root-mean-square error, to evaluate the stereo effect. Furthermore, the stereo effect that the random variables create is discussed. The results of the experiment show that, (i) when all random variables have the same distribution, different values of these random variables only slightly affect the stereo effect; and (ii) when different distributions are applied to the random variables, the cross-entropies or root-mean-square errors are slightly different, which indicates different distributions have a small influence on the stereo effect. Generally, we recommend normal distribution for better stereo effect in most cases.