Stereo camera upgraded to equal baseline multiple camera set (EBMCS)

Kaczmarek, Adam L.

doi:10.1109/3dtv.2017.8280416

Cited by 4 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Equal Baseline Camera Array was deigned to address the problem with errors occurring on disparity maps obtained on the basis of images from a stereo camera [Kac15,Kac17a,Kac17b]. EBCA preserves all the benefits of a stereo camera however simultaneously EBCA provides higher quality of data than a stereo camera.…”

Section: Equal Baseline Camera Ar-raymentioning

confidence: 99%

The Usage of the BP-Layers Stereo Matching Algorithm with the EBCA Camera Set

Kaczmarek¹

2023

Computer Science Research Notes

View full text Add to dashboard Cite

This paper is concerned with applying a stereo matching algorithm called BP-Layers to a set of many cameras. BP Layers is designed for obtaining disparity maps from stereo cameras. The algorithm takes advantage of convolutional natural networks. This paper presents using this algorithm with a set called Equal Baseline Camera Array. This set consists of up to five cameras with one central camera and other ones aground it. Such a set has similar advantages as a stereo camera. In particular this equipment is suitable for providing 3D vision for autonomous robots operating outdoors. The research presented in this paper shows the extent to which results of using BP Layers are improving because of using the EBCA set instead of a stereo camera.

show abstract

Section: Equal Baseline Camera Ar-raymentioning

confidence: 99%

The Usage of the BP-Layers Stereo Matching Algorithm with the EBCA Camera Set

Kaczmarek¹

2023

Computer Science Research Notes

View full text Add to dashboard Cite

show abstract

“…They had a camera matrix build from 16 cameras in 4x4 configuration, however they analyzed the usage of the selected five cameras forming EBCA from the matrix. The author of this paper further developed stereo matching algorithms for EBCA and researched its capabilities [10][11][12]40]. The photo of an operational real EBCA used in the experiments presented in this paper is presented in Fig.…”

Section: Equal Baseline Camera Arraymentioning

confidence: 99%

“…The disparity of a point p in the reference image is determined regardless of the entire contents of the reference image and the side image. Points of the reference image affecting the disparity of the point p are those that are located in the vicinity of p. The vicinity is called an aggregating widow [12,40]. Aggregating windows may have different shapes and sized.…”

Section: Structure Of Stereo Matching Algorithmsmentioning

confidence: 99%

“…This paper is dedicated to a specific kind of a camera array in which there is a central camera and a ring of side cameras equally distant from the central one [9,10]. This camera array was previously called Equal Baseline Multiple Camera Set (EBMCS) [11,12]. In this paper it will be called Equal Baseline Camera Array (EBCA), because this name is more accurate.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

3D Vision System for a Robotic Arm Based on Equal Baseline Camera Array

Kaczmarek

2019

J Intell Robot Syst

Self Cite

View full text Add to dashboard Cite

This paper presents a lightweight 3D vision system called Equal Baseline Camera Array (EBCA). EBCA can work in different light conditions and it can be applied for measuring large range of distances. The system is a useful alternative to other known distance measuring devices such as structured-light 3D scanners, time-of-flight cameras, Light Detection and Ranging (LIDAR) devices and structure from motion techniques. EBCA can be mounted on a robotic arm without putting significant load on its construction. EBCA consists of a central camera and a ring of side cameras. The system uses stereo matching algorithms to acquire disparity maps and depth maps similarly as in case of using stereo cameras. This paper introduces methods of adapting stereo matching algorithms designed for stereo cameras to EBCA. The paper also presents the analysis of local, semi-global and global stereo matching algorithms in the context of the EBCA usage. Experiments show that, on average, results obtained from EBCA contain 37.49% less errors than the results acquired from a single stereo camera used in the same conditions.

show abstract

Disparity Error in Advanced Vision Sensors

Sasiadek,

Walker

2023

2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)

View full text Add to dashboard Cite

Stereo camera upgraded to equal baseline multiple camera set (EBMCS)

Cited by 4 publications

References 15 publications

The Usage of the BP-Layers Stereo Matching Algorithm with the EBCA Camera Set

The Usage of the BP-Layers Stereo Matching Algorithm with the EBCA Camera Set

3D Vision System for a Robotic Arm Based on Equal Baseline Camera Array

Disparity Error in Advanced Vision Sensors

Contact Info

Product

Resources

About