Results 231 to 240 of about 54,292 (288)

Adaptive Multi-Camera Fusion and Calibration for Large-Scale Multi-Vehicle Cooperative Simulation Scenarios. [PDF]

Sensors (Basel)
Zhang H, Xia C, Zeng H.
europepmc   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Real-Time Panoramic Surveillance Video Stitching Method for Complex Industrial Environments. [PDF]

Sensors (Basel)
Zhu J, Guo J, Ding K, Wang G, Zhou Y, Li W.   +5 more
europepmc   +1 more source

Multimodal FM-SEM dataset with millimetre-scale field of view for bundle-scale porosity and impregnation quantification in woven GFRP/PP composites. [PDF]

Data Brief
Ayadi A, Kumar SKSR, Lagardère MD.
europepmc   +1 more source

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Curvature Domain Image Stitching

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
Digital photograph stitching blends multiple images to form a single one with a wide field of view. However, artifacts may arise, often due to photometric inconsistency and geometric misalignment among the images. Several existing techniques tackle this problem by methods such as pixel selection or pixel blending, which involve the matching and ...
Wong, KKY, Suen, STY, Lam, EY
openaire   +2 more sources

Stitching contaminated images

Neurocomputing, 2016
Image stitching has long been studied in computer vision and has been applied to many fields. However, when the input images contain moving objects and meanwhile are noisy or partially contaminated, it remains a challenge to get a satisfactory clean panorama.
Chuan Li, Zhi-Yong Liu, Xu Yang, Hong Qiao, Jian-Hua Su   +4 more
openaire   +1 more source

Image stitching of dissimilar images

2015 International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2015
Image stitching is done by combining multiple input images such that the ideal result is a single image that contains contexts from all the inputs as well as seamless transitions between contexts. It is most commonly used in the field of panoramic photography.
Gil Rupert Licu, Nelvyn John Mendoza, Mark Kelvin See, null Sonam, Carlo Noel Ochotorena, Maria Antonette Roque, Edwin Sybingco   +6 more
openaire   +1 more source