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FAW for Multi-exposure Fusion Features [PDF]
, 2011 This paper introduces a process where fusion features assist matching scale invariant feature transform (SIFT) image features from high contrast scenes. FAW defines the order for extracting features: features, alignment then weighting. The process uses three quality measures to select features from a series of differently exposed images and select a ...
May, Michael +2 more
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Packing and Padding: Coupled Multi-index for Accurate Image Retrieval [PDF]
, 2014 In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low discriminative power, so false positive matches occur prevalently. Apart from the information loss during quantization, another cause is that the SIFT feature only describes the ...
Liu, Ziqiong +3 more
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Feature fusion reveals slow and fast visual memories [PDF]
, 2007 Although the visual system can achieve a coarse classification of its inputs in a relatively short time, the synthesis of qualia-rich and detailed percepts can take substantially more time.
Hermens, Frouke +4 more
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Feature fusion network based on strip pooling [PDF]
Scientific Reports, 2021 AbstractContextual information is a key factor affecting semantic segmentation. Recently, many methods have tried to use the self-attention mechanism to capture more contextual information. However, these methods with self-attention mechanism need a huge computation.
Gaihua Wang, Qianyu Zhai
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Merging-Squeeze-Excitation Feature Fusion for Human Activity Recognition Using Wearable Sensors
Applied Sciences, 2023 Human activity recognition (HAR) has been applied to several advanced applications, especially when individuals may need to be monitored closely. This work focuses on HAR using wearable sensors attached to various locations of the user body.
Seksan Laitrakun
doaj +1 more source
Enhancement via fusion of mammographic features
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002 Image enhancement in mammography is typically concerned with either general visibility of all features or conspicuity of a specific sign of malignancy. We describe a synthesis of the two approaches through fusion of locally enhanced microcalcifications, circumscribed masses, and stellate lesions.
Koren, Iztok +2 more
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EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition
, 2020 Human activity recognition using multiple sensors is a challenging but promising task in recent decades. In this paper, we propose a deep multimodal fusion model for activity recognition based on the recently proposed feature fusion architecture named ...
Abadi Martín +3 more
core +1 more source
A Study on the Performance Enhancement of Radar Target Classification Using the Two-Level Feature Vector Fusion Method [PDF]
Journal of the Korean Institute of Electromagnetic Engineering and Science, 2018 In this paper, we proposed a two-level feature vector fusion technique to improve the performance of target classification. The proposed method combines feature vectors of the early-time region and late-time region in the first-level fusion.
In-Ha Kim, In-Sik Choi, Dae-Young Chae
doaj +1 more source
Cross Spectral and Spatial Scale Non-local Attention-Based Unsupervised Pansharpening Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Pansharpening means fusing the low spatial resolution multispectral image (LRMSI) and the panchromatic (PAN) image to get the high resolution multispectral image (HRMSI).
Shuangliang Li +4 more
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FCN-Transformer Feature Fusion for Polyp Segmentation [PDF]
, 2022 AbstractColonoscopy is widely recognised as the gold standard procedure for the early detection of colorectal cancer (CRC). Segmentation is valuable for two significant clinical applications, namely lesion detection and classification, providing means to improve accuracy and robustness.
Sanderson, Edward, Matuszewski, Bogdan
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