The use of 3D and stereo imaging is rapidly increasing. Compression, transmission, and processing could degrade the quality of stereo images. Quality assessment of such images is different than their 2D counterparts. Metrics that represent 3D perception by human visual system (HVS) are expected to assess stereoscopic quality more accurately. In this paper, inspired by brain sensory/motor fusion...

The launch of Cartosat-1 is the beginning of yet another series of satellite mission after IRS satellites for earth observation and natural resource management applications. The first in its series of satellite for Cartographic applications, Cartosat-1 was launched on 5th May 2005. The along-track stereo viewing capability was realized by employing two cameras viz. FORE with mounting pitch angl...

Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, research in some branches of the field has been constrained due to the few number of stereo datasets with ground truth disparity maps available. Having available a large dataset of stereo images with ground truth disparity maps would boos...

In this paper, a high dynamic range (HDR) imaging method based on the stereo vision system is presented. The proposed method uses differently exposed low dynamic range (LDR) images captured from a stereo camera. The stereo LDR images are first converted to initial stereo HDR images using the inverse camera response function estimated from the LDR images. However, due to the limited dynamic rang...

Full panoramic images, covering 360 degrees, can be created either by using panoramic cameras or by mosaicing together many regular images. Creating panoramic views in stereo, where one panorama is generated for the left eye, and another panorama is generated for the right eye is more problematic. Earlier attempts to mosaic images from a rotating pair of stereo cameras faced severe problems of ...

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...

By far, many stereo-matching techniques have been successfully proposed and applied in digital aerial photogrammetry. However, due to some problems such as large parallaxes, occlusions, geometric deformations, and repetitive patterns in convergent close range images, these methods may not be applicable to the same level of success as that of aerial imagery. In order to overcome these shortcomin...

Figures 3 and 4 show several representative images from our database of stereo images captured at two cities. They were captured indoors and outdoors. Here, since we have the original stereo pairs, we synthetically generate the anaglyph and apply our algorithm to reproduce the stereo pairs. These two figures show the original and generated images side by side. 3. Recolorization of incompatible ...

Most of the existing stereo matching algorithms assume that the corresponding pixels have the same intensity (color) in both images. But in real world situations, image color values are often affected by various radiometric factors such as illumination direction, illuminant color, and imaging device changes. Hence, we cannot fully depend on the raw color recorded by a camera. So, the assumption...

The System-on-Programmable-Chip (SoPC) architecture to implement a stereo matching algorithm based on the sum of absolute differences (SAD) in a FPGA chip is proposed. The hardware implementation involves a 32-bit Nios II microprocessor, memory interfaces and stereo matching algorithm circuit module. The Nios II microprocessor is a configurable soft IP core in charge of managing the buffer of t...