Depth map compression based on platelet coding and quadratic curve fitting

2014 ◽  
Author(s):  
Yu Zhang ◽  
Han Wang ◽  
Jiying Zhao
Keyword(s):  
Curve Fitting ◽  
Depth Map ◽  
Quadratic Curve

scholarly journals Calibration and accuracy analysis of a focused plenoptic camera

2014 ◽  
Vol II-3 ◽  
pp. 205-212 ◽  
Author(s):  
N. Zeller ◽  
F. Quint ◽  
U. Stilla
Keyword(s):  
Curve Fitting ◽  
Depth Map ◽  
Reference Points ◽  
New Methods ◽  
Model Based ◽  
Depth Images ◽  
Fitting Method ◽  
Plenoptic Camera ◽  
Curve Fitting Method ◽  
First Time

In this article we introduce new methods for the calibration of depth images from focused plenoptic cameras and validate the results. We start with a brief description of the concept of a focused plenoptic camera and how from the recorded raw image a depth map can be estimated. For this camera, an analytical expression of the depth accuracy is derived for the first time. In the main part of the paper, methods to calibrate a focused plenoptic camera are developed and evaluated. The optical imaging process is calibrated by using a method which is already known from the calibration of traditional cameras. For the calibration of the depth map two new model based methods, which make use of the projection concept of the camera are developed. These new methods are compared to a common curve fitting approach, which is based on Taylor-series-approximation. Both model based methods show significant advantages compared to the curve fitting method. They need less reference points for calibration than the curve fitting method and moreover, supply a function which is valid in excess of the range of calibration. In addition the depth map accuracy of the plenoptic camera was experimentally investigated for different focal lengths of the main lens and is compared to the analytical evaluation.

High-quality quadratic curve fitting for scanned data of styling design

2016 ◽  
Vol 71 ◽  
pp. 39-50 ◽  
Author(s):  
Shoichi Tsuchie ◽  
Kunio Okamoto
Keyword(s):  
Curve Fitting ◽  
High Quality ◽  
Quadratic Curve

Parameter Adjustment Method of Kalman Filter Based on Quadratic Curve Fitting

2021 ◽  
Author(s):  
Xinli Xiong ◽  
Kuan Wang ◽  
Jianbin Chen ◽  
Tao Li ◽  
Haoyun Deng ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Curve Fitting ◽  
Parameter Adjustment ◽  
Adjustment Method ◽  
Quadratic Curve

scholarly journals Unusualness as a predictor of music preference

2018 ◽  
Vol 23 (4) ◽  
pp. 426-441 ◽  
Author(s):  
Anthony Chmiel ◽  
Emery Schubert
Keyword(s):  
Curve Fitting ◽  
Music Preference ◽  
Quadratic Curve ◽  
Fitting Procedures

This paper investigates the role of unusualness ratings in predicting music preference. In addition, the variables complexity and familiarity were rated for five music stimuli covering a range of styles. Ninety-four participants were exposed to each stimulus ten times over a three-week period. The three variables were tested as predictors of preference using linear and quadratic curve-fitting procedures. A linear increasing relationship was observed for familiarity, and inverted-U relationships were observed for unusualness and complexity. These results are consistent with Berlyne’s inverted-U model, or a segment of the inverted-U in the case of familiarity. Unusualness was a good indicator of music preference, and explained more variance than complexity or familiarity. Furthermore, the two stimuli that scored highest in unusualness produced consistently low ratings of preference independent of exposure, which appears to be a hallmark of “extreme” music stimuli.

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