In this paper we study how to compute a dense depth map with panoramic field of view (e.g., 360 degrees) from multiperspective panoramas. A dense sequence of multiperspective panoramas is used for better accuracy and reduced ambiguity by taking advantage of significant data redundancy. To speed up the reconstruction, we derive an approximate epipolar plane image that is associated with the plan...

Due to a high percentage of the bad pixels in small baseline stereo matching method, a small baseline stereo matching method based on adaptive weight is proposed. Firstly, the size of reference window is adaptively calculated for each reference point and then matching costs is evaluated according to adaptive weights and reference window size. Secondly, winner take all is used to evaluate initia...

Object Detection and Motion Detection are the wide research areas of computer vision. Various methods are available for performing these tasks. Here, two algorithms Particle Filter and CAMShift are used. The parameters such as intensity, elapsed time, track loss rate etc. are examined for both algorithms. Particle filter is a technique for implementing recursive Bayesian filter by Monte Carlo s...

Maximising the natural ventilation of a building can be beneficial in terms of comfort and reduced reliance on air conditioning. In noisy urban areas this can conflict with the need to reduce the ingress of external noise. In this study the effect of building exposure to noise on natural ventilation potential is investigated. The occurrence of window openings on a building façade was adjusted a...

For the problems that the traditional local SAD algorithm is affected by the central pixels largely and noise easily, this paper puts forward a new Rank-transform stereovision matching algorithm based on window weighted function. Firstly, the traditional nonparametric Rank transformation is used for left and right gray images to suppress the noise; meanwhile, the weighted window function is add...

With the advances in remote sensing technology, satellite-based rainfall estimates are gaining attraction in the field of hydrology, particularly in rainfall-runoff modeling. Since estimates are affected by errors correction is required. In this study, we tested the high resolution National Oceanic and Atmospheric Administration's (NOAA) Climate Prediction Centre (CPC) morphing technique (CMORP...

In this paper, we present a new approach for dense stereo matching which is mainly oriented towards the recovery of depth map of an observed scene. The extraction of depth information from the disparity map is well understood, while the correspondence problem is still subject to errors. In our approach, we propose optimizing correlation based technique by detecting and rejecting mismatched poin...

Introduction: In radionuclide imaging, object scatter is one of the major factors leading to image quality degradation. Therefore, the correction of scattered photons might have a great impact on improving the image quality. Regarding this, the present study aimed to determine the main and sub-energy windows for triple energy window (TEW) scatter correction method usin...

An efficient reconstruction method for myocardial perfusion single-photon emission computed tomography (SPECT) has been developed which compensates simultaneously for attenuation, scatter, and resolution variation. The scattered photons in the primary-energy-window measurements are approximately removed by subtracting the weighted scatter-energy-window samples. The resolution variation is corre...