Results 71 to 80 of about 107,056 (298)

SRP‐AKAZE: an improved accelerated KAZE algorithm based on sparse random projection

IET Computer Vision, 2020
The AKAZE algorithm is a typical image registration algorithm that has the advantage of high computational efficiency based on non‐linear diffusion.
Dan Li, Qiannan Xu, Wennian Yu, Bing Wang   +3 more
doaj   +1 more source

WarpNet: Weakly Supervised Matching for Single-view Reconstruction

, 2016
We present an approach to matching images of objects in fine-grained datasets without using part annotations, with an application to the challenging problem of weakly supervised single-view reconstruction.
Chandraker, Manmohan, Jacobs, David W., Kanazawa, Angjoo   +2 more
core   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Multi-Modal Remote Sensing Image Registration Method Combining Scale-Invariant Feature Transform with Co-Occurrence Filter and Histogram of Oriented Gradients Features

Remote Sensing
Multi-modal remote sensing images often exhibit complex and nonlinear radiation differences which significantly hinder the performance of traditional feature-based image registration methods such as Scale-Invariant Feature Transform (SIFT).
Yi Yang, Shuo Liu, Haitao Zhang, Dacheng Li, Ling Ma   +4 more
doaj   +1 more source

Robust image hashing using SIFT feature points and DWT approximation coefficients

ICT Express, 2018
This study proposes a robust hashing method using scale-invariant feature transform (SIFT) features points and discrete wavelet transform (DWT) approximation coefficients for image authentication.
Lokanadham Naidu Vadlamudi, Rama Prasad V. Vaddella, Vasumathi Devara   +2 more
doaj   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Hierarchical spatial pyramid max pooling based on SIFT features and sparse coding for image classification

IET Computer Vision, 2013
It is essential to build good image representations for many computer vision tasks. In this study, the authors propose a hierarchical spatial pyramid max pooling method based on scale‐invariant feature transform (SIFT) features and sparse coding, which ...
Hong Han, Qiqiang Han, Xiaojun Li, Jianyin Gu   +3 more
doaj   +1 more source

SIFT Flow: Dense Correspondence across Scenes and its Applications [PDF]

, 2010
While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different scenes remains a challenging problem.
Freeman, William T., Liu, Ce, Torralba, Antonio, Yuen, Jenny   +3 more
core  

DCTM: Discrete-Continuous Transformation Matching for Semantic Flow

, 2017
Techniques for dense semantic correspondence have provided limited ability to deal with the geometric variations that commonly exist between semantically similar images.
Kim, Seungryong, Lin, Stephen, Min, Dongbo, Sohn, Kwanghoon   +3 more
core   +1 more source