range and depth estimation
Visibility Enhancement of Hazy Images using Depth Estimation Concept
... The outputs of each weight maps are normalized (changes the range of pixel intensity values) and then applied to Gaussian pyramid of length five. The image pyramid is a data structure designed to support efficient ...
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Variability of snow depth at the plot scale: implications for mean depth estimation and sampling strategies
... snow depth exhibited marked variability at a 10 × 10 m plot scale, especially in forest ...Snow depth variability is often spatially ...(semivariogram range = 10 m) and high snow variability ...
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Optimizing Monocular Cues for Depth Estimation from Indoor Images
... Abstract—Depth Estimation poses various challenges and has wide range ...applications.Depth estimation or extraction refers to the set of techniques and algorithm’s aiming to obtain distance ...
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An effective development of methodology for depth estimation
... mid-range depth, the aerial perspective cue can give the estimation of depth at long distance object, Linear perspective cue plans the basic depth to the ...estimated depth map ...
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Depth Estimation Using Monocular Camera
... of depth estimation uses stereo cameras [10] but has limitation on range and ...The depth estimation technique uses two different approaches to compute the in-path distances and oblique ...
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Accurate depth from defocus estimation with video rate implementation
... a depth map in 10sec was also ...[75]. Depth estimation using the focus criterion is a simple procedure that provides a direct relation to the actual depth using the lens ...
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Stereo Vision Based Depth Estimation Algorithm In Uncalibrated Rectification
... of depth estimation. The depth estimated is then calculated by getting the median between maximum and minimum disparity resulting from the inlier points in the left image and in the right ...
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Monocular gaze depth estimation using the vestibulo ocular reflex
... We used the raw pupil position data recorded during each trial to measure a relative interpupillary distance. We subtracted the horizontal values of pupil positions of the right eye and the left eye to get a signal that ...
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Motion Vector Sharing and Bitrate Allocation for 3D Video-Plus-Depth Coding
... respective depth values. Due to sharp horizontal changes in the depth map, the image warping reveals areas that are occluded in the reference view and become visible in some virtual ...
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DeepStereoBrush: Interactive Depth Map Creation
... for depth propagation between keyframes and introduce a novel approach for intermediate depth map estimation by making use of a convolutional neural network (CNN) in an unconven- tional ...the ...
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Efficient Motion Estimation for Video Coding Using Depth Information
... Abstract: - This paper presents the reducing method of the complexity in motion estimation for video coding by using the depth information. We obtain two regions of each picture within video sequence from ...
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An Estimation-Range Extended Autocorrelation-Based Frequency Estimator
... frequency estimation over the ...unbiased estimation and its mean square error (MSE) approaches the CRLB when the signal-to-noise ratio (SNR) is larger than a certain ...
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The distribution of axial length, anterior chamber depth, lens thickness, and vitreous chamber depth in an adult population of Shahroud, Iran
... age range of sam- ples, because as demonstrated here and in other studies [6,14], AL decreases with age, and in Table 6, the highest AL is seen in the 17–30 year old age group, and the low- est AL value belongs to ...
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Dual polarized quantitative precipitation estimation as a function of range
... itation estimation and hydrometeor ...rain-rate estimation algorithms (stratiform, convective, and tropical) along with a myriad of R(KDP), R(Z,ZDR), and R(ZDR,KDP) algo- rithms, which can be found in ...
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Close-range radar rainfall estimation and error analysis
... Without any correction, it is found that the radar severely underestimates the total rain amount (by more than 50 %). The calibration of the radar receiver is operationally mon- itored by analyzing the received power ...
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Hazy Color Image Enhancement Using Improved Contrast & Color Analysis
... This paper deals with the defogging of images by using visibility restoration models and image restoration based algorithms. In this study, I worked on color image(.jpg) Then resize the images (0 - 255) to have same ...
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A Modified Proportional Navigation Guidance for Range Estimation
... in range channel and unavailable from IR trackers, nonlinear filters such as sequential U-D EKF and Unscented Kalman filter (UKF) in MSC combined with a MPNG law are ...cross range compensator [9], is used ...
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Depth Estimation Using Collection of Models
... estimate depth of a single segmented image by incorporating a modest sized dataset of 3d models which aims to identify depth information in three steps preprocessing, reconstruction and optimization ...
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Single Image Fog Removal Using Depth Estimation Based on Blur Estimation
... then estimation of the depth information is under ...Generally, estimation of depth requires two ...the estimation of depth information, these algorithms use some assumptions or ...
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Single Image Fog Removal Using Depth Estimation Based on Blur Estimation
... The main origins of blur are objects being out of focus, shadows casted by objects, or objects having a physical surface that is perceived as blur. An object out of focus will produce a blur because it is too far away ...
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