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Cross-spectral calibration for monochromator and imaging spectrometer
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2014To improve the spectral calibration accuracy of an imaging spectrometer and to reduce the complicity of the calibration process, the idea of the cross-spectral calibration was proposed based on the calibration principle of monochromator scanning. Then, a cross-spectral calibration system was designed for a monochromator and an imaging spectrometer. The
曹海霞 CAO Hai-xia +5 more
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Deep Learning Based Cross-Spectral Disparity Estimation For Stereo Imaging
2020 IEEE International Conference on Image Processing (ICIP), 2020Recently, cross-spectral stereo-camera setups found their way from special applications to mass market, especially in smartphones, automotive systems, or drones. In the following, a novel concept is introduced to bring stereo cameras and cross-spectral disparity estimation together. So far, either monomodal stereo algorithms exist that are not suitable
Jürgen Seiler +2 more
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Cross spectral purity and its influence on ghost imaging experiments
Optics Communications, 2007Pseudo-thermal light has been widely used in ghost imaging experiments. In order to understand the differences between the pseudo-thermal source and thermal source, we propose a method to investigate whether a light source has cross spectral purity (CSP), and experimentally measure the cross spectral properties of the pseudo-thermal light source in ...
Honglin Liu, Shensheng Han
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Cross-spectral registration of natural images with SIPCFE
Machine Vision and Applications, 2020Image registration is a viable task in the field of computer vision with many applications. When images are captured under different spectrum conditions, a challenge is imposed on the task of registration. Researchers carefully handcraft a local module insensitive to illumination changes across cross-spectral image pairs to tackle this challenge.
Amir Hossein Farzaneh, Xiaojun Qi 0001
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Feature Point Matching in Cross-Spectral Images with Cycle Consistency Learning
2020 25th International Conference on Pattern Recognition (ICPR), 2021Feature point matching is an important problem because its applications cover a wide range of tasks in computer vision. Deep learning-based methods for learning local features have recently shown superior performance. However, it is not easy to collect the training data in these methods, especially in cross-spectral settings such as the correspondence ...
Ryosuke Furuta +3 more
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Feature Interaction Learning Network for Cross-Spectral Image Patch Matching
IEEE Transactions on Image Processing, 2023Recently, feature relation learning has attracted extensive attention in cross-spectral image patch matching. However, most feature relation learning methods can only extract shallow feature relations and are accompanied by the loss of useful discriminative features or the introduction of disturbing features.
Chuang Yu 0003 +4 more
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A Cross-Spectral Image Fusion Based Visual Odometry
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2020This paper proposes a cross-spectral image fusion based visual odometry with GAN (Generative Adversarial Networks) and Residual Dense Blocks. It can well preserve the intensity information in infrared images and the gradient information in visible images. Based on fused images, the pose can be obtained.
Yunfei Zhou, Kang Li
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Cross-Spectral Periocular Recognition by Cascaded Spectral Image Transformation
2019 IEEE International Conference on Imaging Systems and Techniques (IST), 2019Recent efforts in biometrics have focused on cross-domain face recognition where images from one domain are either transformed or synthesized. In this work, we focus on a similar problem for cross spectral periocular recognition where the images from Near Infra Red (NIR) domain are matched against Visible (VIS) spectrum images. Specifically, we propose
Kiran B. Raja +4 more
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On matching cross-spectral periocular images for accurate biometrics identification
2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2016Periocular recognition has gained significant importance with the increasing use of surgical masks to safeguard against environmental pollution or for improving accuracy of iris recognition. This paper proposes a new framework for accurately matching cross-spectral periocular images using Markov random fields (MRF) and three patch local binary patterns
N. Pattabhi Ramaiah, Ajay Kumar 0001
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