scholarly journals Stereo View and Three-Dimensional Motion Measurement of Rhythmical Movement by Using Stereo Images

2006 ◽  
Vol 26 (Supplement1) ◽  
pp. 231-232
Author(s):  
Fuminori MATSUURA ◽  
Nobuyuki FUJISAWA ◽  
Kaoru TAKIZAWA
Keyword(s):  
Three Dimensional ◽  
Stereo Images ◽  
Motion Measurement ◽  
Rhythmical Movement

scholarly journals The fossil record of whip spiders: the past of Amblypygi

PalZ ◽  
2021 ◽  
Author(s):  
Carolin Haug ◽  
Joachim T. Haug
Keyword(s):  
Fossil Record ◽  
3D Imaging ◽  
Three Dimensional ◽  
Dorsal Shield ◽  
Stereo Images ◽  
Geological Time ◽  
High Quality ◽  
The Past ◽  
Over Time

AbstractWhip spiders (Amblypygi), as their name suggests, resemble spiders (Araneae) in some aspects, but differ from them by their heart-shaped (prosomal) dorsal shield, their prominent grasping pedipalps, and their subsequent elongate pair of feeler appendages. The oldest possible occurrences of whip spiders, represented by cuticle fragments, date back to the Devonian (c. 385 mya), but (almost) complete fossils are known from the Carboniferous (c. 300 mya) onwards. The fossils include specimens preserved on slabs or in nodules (Carboniferous, Cretaceous) as well as specimens preserved in amber (Cretaceous, Eocene, Miocene). We review here all fossil whip spider specimens, figure most of them as interpretative drawings or with high-quality photographs including 3D imaging (stereo images) to make the three-dimensional relief of the specimens visible. Furthermore, we amend the list by two new specimens (resulting in 37 in total). The fossil specimens as well as modern whip spiders were measured to analyse possible changes in morphology over time. In general, the shield appears to have become relatively broader and the pedipalps and walking appendages have become more elongate over geological time. The morphological details are discussed in an evolutionary framework and in comparison with results from earlier studies.

scholarly journals STEREO VISION METHOD APPLICATION TO ROAD INSPECTION

2017 ◽  
Vol 12 (1) ◽  
pp. 38-47 ◽  
Author(s):  
Marcin Staniek
Keyword(s):  
Stereo Vision ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Corner Detection ◽  
Stereo Images ◽  
Processing Technologies ◽  
The Road ◽  
Road Pavement ◽  
Road Inspection ◽  
Set Of Points

The paper presents the stereo vision method for the mapping of road pavement. The mapped road is a set of points in three-dimensional space. The proposed method of measurement and its implementation make it possible to generate a precise mapping of a road surface with a resolution of 1 mm in transverse, longitudinal and vertical dimensions. Such accurate mapping of the road is the effect of application of stereo images based on image processing technologies. The use of matching measure CoVar, at the stage of images matching, help eliminate corner detection and filter stereo images, maintaining the effectiveness of the algorithm mapping. The proper analysis of image-based data and application of mathematical transformations enable to determine many types of distresses such as potholes, patches, bleedings, cracks, ruts and roughness. The paper also aims at comparing the results of proposed solution and reference test-bench. The statistical analysis of the differences permits the judgment of error types.

Developing a Novel Stereovision Scheme for Improving Accuracy of Depth Estimation in Robotic Vision Systems

2015 ◽  
Vol 764-765 ◽  
pp. 1227-1233
Author(s):  
Kuan Yu Chen ◽  
Chien Hung Chen ◽  
Cheng Chin Chien
Keyword(s):  
Focal Length ◽  
Rapid Development ◽  
Three Dimensional ◽  
Depth Estimation ◽  
Depth Interval ◽  
Stereo Images ◽  
Depth Estimate ◽  
Parameter Matching ◽  
Improving Accuracy ◽  
Deformation Coefficient

Acquiring three-dimensional data from a pair of stereo images is called stereovision that has been studied by researchers for decades. However, most of the previous studies on this topic focused on establishment of stereovision parameter matching and made conclusions on the premise of fixed focus. With the rapid development of multimedia technology, varifocal digital cameras have been widely used in many robotic applications recently. In general, error in the depth estimate becomes bigger when the focus and aperture is unknown or not fixed. For that reason, a three-stage framework is proposed in this paper to modify the conventional stereovision model for improving accuracy of depth estimation. The first stage is to modify the computational model of conventional stereovision for varifocal cameras. Then, the spacing of depth interval in non-uniform spacing of discrete depth levels can be altered, in particular, it is unaffected by changes in focal length. Finally, with considering the affine transformation, we add the deformation coefficient into the modified stereovision model for correcting three-dimensional affine deformations. Experimental results demonstrated that the depth estimation from stereo images using the proposed scheme was more accurate than conventional method.

THREE DIMENSIONAL MODELING OF ARCHAEOLOGICAL ARTIFACT USING PHOTOMODELER SCANNER

2015 ◽  
Vol 75 (10) ◽  
Author(s):  
Ainun Nadzirah Abdul Raof ◽  
Halim Setan ◽  
Abert Chong ◽  
Zulkepli Majid
Keyword(s):  
Laser Scanning ◽  
Three Dimensional ◽  
Data Recording ◽  
Dimensional Model ◽  
Stereo Images ◽  
Three Dimensional Model ◽  
Scanning Method ◽  
Close Range Photogrammetry ◽  
Archaeological Artifact ◽  
Close Range

This article describes the work of archaeological artifact data recording using close range photogrammetry method. A calibrated stereo camera was used to take the stereo images of the artifacts. Photomodeler Scanner software was used to process the stereo images to produce a three-dimensional model of the artifact. For verification purposes, VIVID 910 laser scanner was used to generate three-dimensional model of the same artifact. The study found that close range photogrammetry method is easy to use, with fast data recording, fast data processing and it is a method which is cheaper than the laser scanning method.

Use of RGB-D Camera for Analysis of Compensatory Trunk Movements in Upper Limbs Rehabilitation

2020 ◽  
Author(s):  
Alice Tissot Garcia ◽  
André Luiz Da Silva Kelbouscas ◽  
Leonardo L. da C. Guimarães ◽  
Sibyla Vioto Silva ◽  
Vinícius Menezes de Oliveira
Keyword(s):  
Measurement System ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Assistive Robotics ◽  
Upper Limbs ◽  
Kinect Sensor ◽  
Rehabilitation Process ◽  
Motion Measurement ◽  
Trunk Movements ◽  
Three Dimensional Space

Assistive robotics has been shown to be an important tool in the patient's rehabilitation process. One of the rst steps in this process is to capture the movements performed by the patient to analyze the movement restrictions presented. The present work presents the development of a range of motion measurement system based on the position of thejoints in the three-dimensional space of the upper limbs using the Kinect sensor. In addition, preliminary tests are presented to capture compensatory movements of the trunk, in order to investigate the feasibility of using this system as a tool to detect compensatory movements.

scholarly journals A Survey of Learning Approaches and Application for 3D Vision

2018 ◽  
Vol 173 ◽  
pp. 03053
Author(s):  
Luanhao Lu
Keyword(s):  
Stereo Matching ◽  
Mean Shift ◽  
Three Dimensional ◽  
Image Synthesis ◽  
Learning Approaches ◽  
Median Filtering ◽  
Stereo Images ◽  
Disparity Map ◽  
3D Vision ◽  
2D Images

Three-dimensional (3D) vision extracted from the stereo images or reconstructed from the two-dimensional (2D) images is the most effective topic in computer vision and video surveillance. Three-dimensional scene is constructed through two stereo images which existing disparity map by Stereo vision. Many methods of Stereo matching which contains median filtering, mean-shift segmentation, guided filter and joint trilateral filters [1] are used in many algorithms to construct the precise disparity map. These methods committed to figure out the image synthesis range in different Stereo matching fields and among these techniques cannot perform perfectly every turn. The paper focuses on 3D vision, introduce the background and process of 3D vision, reviews several classical datasets in the field of 3D vision, based on which the learning approaches and several types of applications of 3D vision were evaluated and analyzed.

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