Decoding Image Semantics Using Composite Region Templates
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
3D Stereoscopic Image Pairs by Depth-Map Generation
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Feature Extraction & Image Processing, Second Edition
Feature Extraction & Image Processing, Second Edition
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The creation of a single stereoscopic image is not trivial because it requires special hardware and software tools and familiarity in image editing software. In addition, there are many different types of stereoscopic viewing methods. Each of them requires a different type of stereoscopic glasses and viewers personal viewing skills. Due to its difficulty, the creation of stereoscopic images has become less popular compared to other image viewing techniques. This project presents a web application entitled CU Dimensions with the ability to generate stereoscopic images from typical digital photos. The user can create a stereoscopic image without familiarity with any images editing software tool. CU Dimensions also supports several types of stereoscopic viewing, supporting all sorts of instruments and techniques. Moreover, CU Dimensions also provides a function to publish the created images to several popular social networks.