scholarly journals INITIAL EVALUATION OF 3D RECONSTRUCTION OF CLOSE OBJECTS WITH SMARTPHONE STEREO VISION

2018 ◽  
Vol XLII-1 ◽  
pp. 289-293 ◽  
Author(s):  
A. Masiero ◽  
F. Fissore ◽  
M. Piragnolo ◽  
A. Guarnieri ◽  
F. Pirotti ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Mobile Devices ◽  
Stereo Vision ◽  
Vision System ◽  
Focal Length ◽  
Low Cost ◽  
3D Models ◽  
Discrimination Ability ◽  
Depth Discrimination ◽  
Small Baseline

<p><strong>Abstract.</strong> The Worldwide spread of relatively low cost mobile devices embedded with dual rear cameras enables the possibility of exploiting smartphone stereo vision for producing 3D models. Despite such idea is quite attractive, the small baseline between the two cameras restricts the depth discrimination ability of this kind of stereo vision systems. This paper presents the results obtained with a smartphone stereo vision system by using two rear cameras with different focal length: this operating condition clearly reduces the matchable area. Nevertheless, 3D reconstruction is still possible and the obtained results are evaluated for several camera-object distances.</p>

scholarly journals ASSESSMENT OF A PORTABLE TOF CAMERA AND COMPARISON WITH SMARTPHONE STEREO VISION

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 187-193
Author(s):  
A. Masiero ◽  
A. Guarnieri ◽  
A. Vettore
Keyword(s):  
3D Reconstruction ◽  
Mobile Devices ◽  
Stereo Vision ◽  
Vision System ◽  
Low Cost ◽  
Real Geometry ◽  
Ranging Error ◽  
Stereo Reconstruction ◽  
Tof Camera ◽  
Future Work

Abstract. Nowadays time-of-flight (ToF) cameras and multiple RGB cameras are being embedded in an increasing number of high-end smartphones: despite their integration in mobile devices is mostly motivated by photographic applications, their availability can be exploited to enable 3D reconstructions directly on smartphones. Furthermore, even when a ToF camera is not embedded in a smartphone, low cost solutions are available on the market in order to easily provide standard mobile devices with a lightweight and extremely portable ToF camera. This work deals with the assessment of a low cost ToF camera, namely Pico Zense DCAM710, which perfectly fits with the above description. According to the results obtained in the considered tests, the ranging error (precision) of the DCAM710 camera increases linearly approximately up to the nominal maximum range in the considered working mode, up to approximately 1 cm. Despite the device allows to acquire measurements also at larger ranges, the measurement quality significantly worsen. After assessing the main characteristics of such ToF camera, this paper aims at comparing its 3D reconstruction ability with that of a smartphone stereo vision system. In particular, the comparison of a 3D reconstruction obtained with stereo vision from images acquired with an LG G6 shows that the stereo reconstruction leads to a much larger point cloud. However, points generated by the ToF camera are more homogeneously distributed, and they seem to slightly better describe the real geometry of the reconstructed object. The combination of such two technologies, which will be investigated in our future work, can potentially lead to a denser cloud with respect to the ToF camera, while preserving a reasonable accuracy.

Low-cost FPGA stereo vision system for real time disparity maps calculation

2012 ◽  
Vol 36 (4) ◽  
pp. 281-288 ◽  
Author(s):  
Paolo Zicari ◽  
Stefania Perri ◽  
Pasquale Corsonello ◽  
Giuseppe Cocorullo
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Vision System ◽  
Low Cost ◽  
Stereo Vision System ◽  
Disparity Maps

Compact omnidirectional multi-stereo vision system for 3D reconstruction

2018 ◽  
Vol 57 (34) ◽  
pp. 9929 ◽  
Author(s):  
Zhiyu Xiang ◽  
Shuya Chen ◽  
Lei Luo ◽  
Nan Zou
Keyword(s):  
3D Reconstruction ◽  
Stereo Vision ◽  
Vision System ◽  
Stereo Vision System

scholarly journals Architecture and implementation of a high frame-rate stereo vision system

2021 ◽  
Author(s):  
Jamin Islam
Keyword(s):  
Integrated Circuits ◽  
Stereo Vision ◽  
High Speed ◽  
Vision System ◽  
Low Cost ◽  
Cost Effective ◽  
Frame Rate ◽  
Superior Performance ◽  
High Frame Rate ◽  
Stereo Vision System

For the purpose of autonomous satellite grasping, a high-speed, low-cost stereo vision system is required with high accuracy. This type of system must be able to detect an object and estimate its range. Hardware solutions are often chosen over software solutions, which tend to be too slow for high frame-rate applications. Designs utilizing field programmable gate arrays (FPGAs) provide flexibility and are cost effective versus solutions that provide similar performance (i.e., Application Specific Integrated Circuits). This thesis presents the architecture and implementation of a high frame-rate stereo vision system based on an FPGA platform. The system acquires stereo images, performs stereo rectification and generates disparity estimates at frame-rates close to 100 fpSi and on a large-enough FPGA, it can process 200 fps. The implementation presents novelties in performance and in the choice of the algorithm implemented. It achieves superior performance to existing systems that estimate scene depth. Furthermore, it demonstrates equivalent accuracy to software implementations of the dynamic programming maximum likelihood stereo correspondence algorithm.

Active Stereo Vision for Precise Autonomous Vehicle Control

2020 ◽  
Vol 2020 (16) ◽  
pp. 258-1-258-6
Author(s):  
Michael Feller ◽  
Jae-Sang Hyun ◽  
Song Zhang
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Low Cost ◽  
Autonomous Vehicle ◽  
Texture Mapping ◽  
Laser Speckle ◽  
Projection System ◽  
Vision Sensors ◽  
Active Stereo ◽  
Lateral Error

This paper describes the development of a low-cost, lowpower, accurate sensor designed for precise, feedback control of an autonomous vehicle to a hitch. The solution that has been developed uses an active stereo vision system, combining classical stereo vision with a low cost, low power laser speckle projection system, which solves the correspondence problem experienced by classic stereo vision sensors. A third camera is added to the sensor for texture mapping. A model test of the hitching problem was developed using an RC car and a target to represent a hitch. A control system is implemented to precisely control the vehicle to the hitch. The system can successfully control the vehicle from within 35° of perpendicular to the hitch, to a final position with an overall standard deviation of 3.0 m m of lateral error and 1.5° of angular error.

scholarly journals Development of a Low Cost and Path-free Autonomous Patrol System Based on Stereo Vision System and Checking Flags

2020 ◽  
Vol 10 (3) ◽  
pp. 974
Author(s):  
Chien-Wu Lan ◽  
Chi-Yao Chang
Keyword(s):  
Stereo Vision ◽  
Radio Frequency Identification ◽  
Vision System ◽  
Low Cost ◽  
Color Pattern ◽  
Depth Information ◽  
Rfid Tag ◽  
Intruder Detection ◽  
Stereo Vision System ◽  
Identification Function

Nowadays, security guard patrol services are becoming roboticized. However, high construction prices and complex systems make patrol robots difficult to be popularized. In this research, a simplified autonomous patrolling robot is proposed, which is fabricated by upgrading a wheeling household robot with stereo vision system (SVS), radio frequency identification (RFID) module, and laptop. The robot has four functions: independent patrolling without path planning, checking, intruder detection, and wireless backup. At first, depth information of the environment is analyzed through SVS to find a passable path for independent patrolling. Moreover, the checkpoints made with RFID tag and color pattern are placed in appropriate positions within a guard area. While a color pattern is detected by the SVS, the patrolling robot is guided to approach the pattern and check its RFID tag. For more, the human identification function of SVS is used to detect an intruder. While a skeleton information of the human is analyzed by SVS, the intruder detection function is triggered, then the robot follows the intruder and record the images of the intruder. The recorded images are transmitted to a server through Wi-Fi to realize the remote backup, and users can query the recorded images from the network. Finally, an experiment is made to test the functions of the autonomous patrolling robot successfully.

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