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A Non-parametric approach to the D+ ---> anti-K*0 mu+ nu form-factors
PACETTI, Simone, FOCUS COLL
core
New measurement of BR(D+ ---> rho0 mu+ nu) / BR(D+ ---> anti-K*0 mu+ nu) branching ratio
PACETTI, Simone, FOCUS COLL
core
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Multi-focus image fusion with dense SIFT
Information Fusion, 2015Multi-focus image fusion technique is an important approach to obtain a composite image with all objects in focus. The key point of multi-focus image fusion is to develop an effective activity level measurement to evaluate the clarity of source images.
Yu Liu, Zengfu Wang
exaly +2 more sources
Ensemble of CNN for multi-focus image fusion
Information Fusion, 2019Abstract The Convolutional Neural Networks (CNNs) based multi-focus image fusion methods have recently attracted enormous attention. They greatly enhanced the constructed decision map compared with the previous state of the art methods that have been done in the spatial and transform domains.
Mostafa Amin Naji +2 more
exaly +2 more sources
Depth measurement by the multi-focus camera
Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), 2002In this paper, we first introduce the multi-focus camera, a new image sensor used for depth from defocus (DFD) range measurement. It can capture three images with different focus values simultaneously. We then propose two different depth measurement methods using the camera. The first method, an augmented version of the one proposed by N. Asada et al. (
Shinsaku Hiura, Takashi Matsuyama
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Elastic scroll for multi-focus interactions
Adjunct proceedings of the 25th annual ACM symposium on User interface software and technology, 2012This paper proposes a novel and efficient multi-focus scroll interface that consists of a two-step operation using a con-tents distortion technique. The displayed content can be handled just like an elastic material that can be shrunk and stretched by a user's fingers.
Kazuki Takashima +3 more
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Spatial domain multi-focus image fusion
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image.
Ahmet Nusret Toprak, Veysel Aslantas
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Multi-focus image fusion techniques: a survey
Artificial Intelligence Review, 2021Multi-Focus Image Fusion (MFIF) is a method that combines two or more source images to obtain a single image which is focused, has improved quality and more information than the source images. Due to limited Depth-of-Field of the imagining system, extracting all the useful information from a single image is challenging.
Shiveta Bhat, Deepika Koundal
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2008
Interaction and navigation in large geometric spaces typically require a sequence of pan and zoom actions. This strategy is often ineffective and cumbersome, especially when trying to study several distant objects. We propose a new distortion technique that folds the intervening space to guarantee visibility of multiple focus regions.
Elmqvist, Niklas +3 more
openaire +4 more sources
Interaction and navigation in large geometric spaces typically require a sequence of pan and zoom actions. This strategy is often ineffective and cumbersome, especially when trying to study several distant objects. We propose a new distortion technique that folds the intervening space to guarantee visibility of multiple focus regions.
Elmqvist, Niklas +3 more
openaire +4 more sources

