Stitching Videos from a Fisheye Lens Camera and a Wide-Angle Lens Camera for Telepresence Robots

Dong, Yanmei; Pei, Mingtao; Zhang, Lijia; Xu, Bugong; Wu, Yuwei; Jia, Yingmin

doi:10.1007/s12369-020-00744-8

Cited by 10 publications

(2 citation statements)

References 46 publications

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“…By using a fish-eye lens, a minimum of two fish-eye images can be used to synthesize a panoramic image. Considering the issue of edge information loss, three or more fisheye images can be used to generate high-quality panoramic images [1][2][3] . However, fish-eye images have significant distortion due to their unique imaging structure, and therefore, fish-eye image rectification is necessary.…”

Section: Introductionmentioning

confidence: 99%

Fish-eye image effective region segmentation algorithm based on circle fitting

Jiang,

Yu,

2023

Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023)

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When synthesizing panoramic images from fish-eye images, dynamically segmenting the fish-eye image's valid region is crucial. This paper addresses the challenge of segmenting the valid region in fish-eye images caused by lens glare by proposing a segmentation algorithm that combines adaptive threshold edge detection with improved circle fitting. The process begins by performing gradient and direction calculations on the original fish-eye image to extract edge contour information. Subsequently, the edge contours undergo refinement using the non-maximum suppression method. An adaptive dual threshold is generated using the maximum between-class variance method to enable accurate edge detection. The algorithm further initializes and fits the edge points using the least squares method while incorporating a loss function to enhance the circle-fitting algorithm. Finally, an iterative gradient descent method is employed to iteratively solve for the optimal solution and segment the fish-eye image's valid region. Experimental results demonstrate the algorithm's ability to accurately detect contours and effectively segment the valid region, successfully addressing the challenge of extracting the valid region caused by lens glare.

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Section: Introductionmentioning

confidence: 99%

Fish-eye image effective region segmentation algorithm based on circle fitting

Jiang,

Yu,

2023

Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023)

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“…Much research has been conducted in the healthcare system using the methods outlined in [55][56][57][58]. The benefits of employing these approaches in the healthcare environment have been evident during the COVID-19 pandemic, when it was required that doctors keep physical distance from their patients to protect themselves.…”

Section: Introductionmentioning

confidence: 99%

Design of a Telepresence Robot to Avoid Obstacles in IoT-Enabled Sustainable Healthcare Systems

2023

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In the Internet of Things (IoT) era, telepresence robots (TRs) are increasingly a part of healthcare, academia, and industry due to their enormous benefits. IoT provides a sensor-based environment in which robots receive more precise information about their surroundings. The researchers work day and night to reduce cost, duration, and complexity in all application areas. It provides tremendous benefits, such as sustainability, welfare improvement, cost-effectiveness, user-friendliness, and adaptability. However, it faces many challenges in making critical decisions during motion, which requires a long training period and intelligent motion planning. These include obstacle avoidance during movement, intelligent control in hazardous situations, and ensuring the right measurements. Following up on these issues requires a sophisticated control design and a secure communication link. This paper proposes a control design to normalize the integration process and offer an auto-MERLIN robot with cognitive and sustainable architecture. A control design is proposed through system identification and modeling of the robot. The robot control design was evaluated, and a prototype was prepared for testing in a hazardous environment. The robot was tested by considering various parameters: driving straight ahead, turning right, self-localizing, and receiving commands from a remote location. The maneuverability, controllability, and stability results show that the proposed design is well-developed and cost-efficient, with a fast response time. The experimental results show that the proposed method significantly minimizes the obstacle collisions. The results confirm the employability and sustainability of the proposed design and demonstrate auto-MERLIN’s capabilities as a sustainable robot ready to be deployed in highly interactive scenarios.

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Dual-Fisheye Image Stitching via Unsupervised Deep Learning

Jin,

Dong,

et al. 2024

Lecture Notes in Computer Science

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Stitching Videos from a Fisheye Lens Camera and a Wide-Angle Lens Camera for Telepresence Robots

Cited by 10 publications

References 46 publications

Fish-eye image effective region segmentation algorithm based on circle fitting

Fish-eye image effective region segmentation algorithm based on circle fitting

Design of a Telepresence Robot to Avoid Obstacles in IoT-Enabled Sustainable Healthcare Systems

Dual-Fisheye Image Stitching via Unsupervised Deep Learning

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