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Enhanced Combined Techniques for Interval-Valued Intuitionistic Fuzzy Multiple-Attribute Group Decision-Making and Applications to Quality Evaluation of Large-Scale Multi-View 3D Reconstruction

Longpeng Bian, Chang Che • IEEE Access (2023)

With the widespread application of computer vision in many fields, quickly and accurately obtaining the three-dimensional information covered by the target object has become a concern in the field of vision research. Large scale multi view ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3327310

Sparse Representation for Computer Vision and Pattern Recognition

John N. Wright, Yi Ma, Julien Mairal, Guillermo Sapiro et al. • Proceedings of the IEEE (2010)

Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high-fidelity representation of the observed signal...

OPENALEX DOI: https://doi.org/10.1109/jproc.2010.2044470

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu et al. • Frontiers in Robotics and AI (2016)

Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep learning techniques have offered a compelling alternative -- th...

OPENALEX cc-by DOI: https://doi.org/10.3389/frobt.2015.00036

Computer Vision, Models and Inspection

A. David Marshall, R. R. Martin • World Scientific series in robotics and intelligent systems (1992)

The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches...

OPENALEX DOI: https://doi.org/10.1142/1492