Identification of Persons Using Stereo Image Pairs and Perturbation Functions

2020 ◽  
pp. 119-133
Author(s):  
Sergey Vyatkin ◽  
Alexander Romanyuk ◽  
Sergey Pavlov ◽  
Oksana Romanyuk
Keyword(s):  
Stereo Image ◽  
Perturbation Functions ◽  
Image Pairs ◽  
Identification Of Persons

Analysis of Cluttered Scenes Using an Elastic Matching Approach for Stereo Images

2006 ◽  
Vol 18 (6) ◽  
pp. 1441-1471 ◽  
Author(s):  
Christian Eckes ◽  
Jochen Triesch ◽  
Christoph von der Malsburg
Keyword(s):  
Graph Matching ◽  
Recognition Performance ◽  
Stereo Image ◽  
Matching Algorithm ◽  
Automatic Interpretation ◽  
Color Features ◽  
Occluded Objects ◽  
Elastic Graph Matching ◽  
Image Pairs ◽  
Object Models

We present a system for the automatic interpretation of cluttered scenes containing multiple partly occluded objects in front of unknown, complex backgrounds. The system is based on an extended elastic graph matching algorithm that allows the explicit modeling of partial occlusions. Our approach extends an earlier system in two ways. First, we use elastic graph matching in stereo image pairs to increase matching robustness and disambiguate occlusion relations. Second, we use richer feature descriptions in the object models by integrating shape and texture with color features. We demonstrate that the combination of both extensions substantially increases recognition performance. The system learns about new objects in a simple one-shot learning approach. Despite the lack of statistical information in the object models and the lack of an explicit background model, our system performs surprisingly well for this very difficult task. Our results underscore the advantages of view-based feature constellation representations for difficult object recognition problems.

Pollution detection by digital correlation of multispectral, stereo-image pairs

1973 ◽  
Vol 7 (4) ◽  
pp. 455-476 ◽  
Author(s):  
F.R. Krause ◽  
H.T. Betz ◽  
D.H. Lysobey
Keyword(s):  
Stereo Image ◽  
Digital Correlation ◽  
Pollution Detection ◽  
Image Pairs

DEM Generation and Accuracy Assessment Using ZY-3 Stereo Image Pairs

2015 ◽  
Vol 738-739 ◽  
pp. 613-617 ◽  
Author(s):  
Guo Yin Cai ◽  
Jie Huan ◽  
Yang Liu ◽  
Ming Yi Du
Keyword(s):  
3D Visualization ◽  
Accuracy Assessment ◽  
Satellite Image ◽  
Stereo Image ◽  
Stereo Pair ◽  
Topographic Analysis ◽  
Digital Elevation ◽  
Data Source ◽  
Image Pairs ◽  
Elevation Model

Digital Elevation Model (DEM) is an important data source for topographic analysis, 3D visualization and satellite image ortho-rectification. This paper focused on the DEM extraction and accuracy assessment from ZY-3 satellite with 3 stereo images. DEM was extracted using three different stereo pair image groups composed of forward and nadir view images, nadir and backward view images as well as forward and backward view images. The accuracy of the DEM was indicated by root-mean-square error (RMSE) values. The results showed that the stereo pair of nadir and forward view images achieved the best accuracy, while the pair of forward and backward view images obtained the worst. This might be useful for the selection of the stereo pair images for extracting DEM using ZY-3 satellite images.

scholarly journals Three-Dimensional Glacier Changes in Geladandong Peak Region in the Central Tibetan Plateau

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1749 ◽  
Author(s):  
Junli Xu ◽  
Donghui Shangguan ◽  
Jian Wang
Keyword(s):  
Three Dimensional ◽  
Stereo Image ◽  
Surface Elevation ◽  
Glacier Area ◽  
Glacier Surface ◽  
Contour Lines ◽  
The Status ◽  
Glacier Length ◽  
Image Pairs ◽  
Increasing Temperature

In this study, contour lines from the topographic maps at a 1:100,000 scale (mapped in 1968), Landsat MSS/TM/OLI images, ASTER images and SPOT 6-7 stereo image pairs were used to study changes in glacier length, area and surface elevation. We summarized the results using the following three conclusions: (1) During the period from 1973 to 2013, glaciers retreated by 412 ± 32 m at a mean retraction rate of 10.3 ± 0.8 m·year−1 and the relative retreat was 5.6 ± 0.4%. The glacier area shrank by 7.5 ± 3.4%, which was larger than the glacier length. In the periods of 1968–2000, 2000–2005 and 2000–2013, the glacier surface elevation change rates were −7.7 ± 1.4 m (−0.24 ± 0.04 m·year−1), −1.9 ± 1.5 m (−0.38 ± 0.25 m·year−1) and −5.0 ± 1.4 m (−0.38 ± 0.11 m·year−1), respectively. The changes in the glacier area and thickness exhibited similar trends, both showing a significant increasing reduction after 2000. (2) Eleven glaciers were identified as surging glaciers. Changes of the mass balance in surging glaciers were stronger than in non-surging glaciers between 1968 and 2013. Changes of area in surging glaciers were weaker than in non-surging glaciers. (3) Increasing temperature was the major cause of glacier thickness reduction and area shrinkage. The increase in precipitation, to a certain extent, inhibited glacial ablation but it did not change the status of the shrinkage in the glacial area and the reduction in the glacier thickness.

Research on Lossless Predictive Coding Methods for Stereo Images

2014 ◽  
Vol 596 ◽  
pp. 406-412 ◽  
Author(s):  
Shi Gao Li
Keyword(s):  
Image Coding ◽  
Predictive Coding ◽  
Prediction Method ◽  
Code Rate ◽  
Experimental Results ◽  
Stereo Image ◽  
Stereoscopic Image ◽  
Coding Method ◽  
Image Pairs ◽  
Very High

There exists very high correlation between left-view images and right-view images of stereo image pairs. The correlation can help to reduce the stereoscopic image coding bit rate. Proposed methods first estimate the disparity by using causal neighborhood pixels. And then a prediction method which combines inter-view prediction with intra-view prediction is used to obtain a better predictive coding method for target-view images. The reference-view images are then encoded by using those commonly used prediction coding method. The experimental results show that compared with those methods using only intra-view correlation, the proposed method can obtain lower code rate.

scholarly journals Efficient Stereo Matching with Decoupled Dissimilarity Measure Using Successive Weighted Summation

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Cheng-Tao Zhu ◽  
Yau-Zen Chang ◽  
Huai-Ming Wang ◽  
Kai He ◽  
Shih-Tseng Lee ◽  
...  
Keyword(s):  
Stereo Matching ◽  
Dissimilarity Measure ◽  
Stereo Image ◽  
Fitting Procedure ◽  
Comparable Performance ◽  
Novel Method ◽  
Disparity Maps ◽  
Image Pairs ◽  
Benchmark Evaluation ◽  
Complexity Algorithm

Developing matching algorithms from stereo image pairs to obtain correct disparity maps for 3D reconstruction has been the focus of intensive research. A constant computational complexity algorithm to calculate dissimilarity aggregation in assessing disparity based on separable successive weighted summation (SWS) among horizontal and vertical directions was proposed but still not satisfactory. This paper presents a novel method which enables decoupled dissimilarity measure in the aggregation, further improving the accuracy and robustness of stereo correspondence. The aggregated cost is also used to refine disparities based on a local curve-fitting procedure. According to our experimental results on Middlebury benchmark evaluation, the proposed approach has comparable performance when compared with the selected state-of-the-art algorithms and has the lowest mismatch rate. Besides, the refinement procedure is shown to be capable of preserving object boundaries and depth discontinuities while smoothing out disparity maps.

Line labelling and region segmentation in stereo image pairs

1994 ◽  
Vol 12 (4) ◽  
pp. 213-225 ◽  
Author(s):  
D.Q Huynh ◽  
R.A Owens
Keyword(s):  
Stereo Image ◽  
Region Segmentation ◽  
Image Pairs
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