Elastica and Computer Vision
https://doi.org/10.1007/978-1-4612-2628-4_31
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https://doi.org/10.1007/978-1-4612-2628-4_31
https://doi.org/10.1007/978-3-642-15796-7_3
https://doi.org/10.1007/11949619
https://doi.org/10.1007/978-3-030-17798-0
The state-of-the art in computer vision: theory, applications, and programmingWhether you're a working engineer, developer, researcher, or student, this is your single authoritative source for today's key computer vision innovations. Gerard...
Contents of Volume One: Preface. Contributors. B. Jahne, Introduction. Illumination and Image Formation. H. Hausecker, Radiation. H. Hausecker, Interaction of Radiation with Matter. P. Geisler, Geometric and Wave Optics. H. Hausecker, Radio...
https://doi.org/10.1007/978-3-319-46448-0
https://doi.org/10.1007/b97865
https://doi.org/10.1007/bfb0054729
https://doi.org/10.1007/978-981-16-1103-2
https://doi.org/10.1007/978-0-387-31439-6
Abstract : The main contribution of this thesis is the development of a three dimensional geometric modeling system for application to computer vision. In computer vision geometric models provide a goal for descriptive image analysis, an or...
According to the recent world bank report, around 80% of a life-cycle cost of a road is devoted to maintenance which includes monitoring and repair processes. To more effectively keep road serviceability, knowing the current status of road ...
10.1016/j.rineng.2023.101130
Abstract In computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data...
10.1007/s40747-025-02205-z
This paper implements a systematic methodological approach to review the evolution of YOLO variants. Each variant is dissected by examining its internal architectural composition, providing a thorough understanding of its structural compone...
10.1109/ACCESS.2024.3378568
Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily. The traditional tensor decomposi...
10.3389/fnbot.2021.762252
The relevance of the research is caused by the necessity to develop algorithms and software to classify the cloud types based on single-layer cloud on the satellite images received from MODIS spectral radiometer used in Terra and Aqua remot...
Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features ar...
https://doi.org/10.1142/5711
Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the fiel...
https://doi.org/10.1561/0600000079
https://doi.org/10.1016/0031-3203(76)90020-0