Real world scenes that contain high dynamic range illumination present a special challenge for stereo matching algorithms due to a lack of texture in overor under-exposed image regions. In this paper, we discuss possibilities for combining state-of-the-art stereo matching algorithms with High Dynamic Range (HDR) imaging techniques, in order to exploit a set of multi-exposed input images of both...

Within-class spectral variation and between-class spectral confusion in remotely sensed imagery degrades the performance of built-up area detection when using planar texture, shape, and spectral features. Terrain slopes and building heights extracted from auxiliary data, such as Digital Surface Models (DSMs) however, can improve the results. Stereo imagery incorporates height information unlike...

In this paper, an artificial stereo extension method of speech is proposed to control the width of auditory image. The proposed stereo extension method employs a decorrelator to make stereo-channel signals without any additional information from mono speech signal. In other words, uncorrelated signal is first generated from mono speech signal passing though the decorrelator, and it is added to ...

In this paper, we propose a fast and effective pseudo-stereo conversion algorithm to transform the conventional 2D videos into their stereo versions. As conventional 2D videos do not normally have sufficient true depth information for stereo conversion, we explore the principle of extracting the closest disparity to reconstruct the stereo frame pair, where a simple content-based approach is fol...