9 Result(s)
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Article
Open AccessImage Matching from Handcrafted to Deep Features: A Survey
As a fundamental and critical task in various visual applications, image matching can identify then correspond the same or similar structure/content from two or more images. Over the past decades, growing amou...
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Chapter and Conference Paper
Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network
Hyperspectral (HS) images are captured with rich spectral information, which have been proved to be useful in many real-world applications, such as earth observation. Due to the limitations of HS cameras, it i...
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Chapter and Conference Paper
Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification
Hyperspectral images (HSIs) have far more spectral bands than conventional RGB images. The abundant spectral information provides very useful clues for the followup applications, such as classification and ano...
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Article
Locality Preserving Matching
Seeking reliable correspondences between two feature sets is a fundamental and important task in computer vision. This paper attempts to remove mismatches from given putative image feature correspondences. To ...
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Chapter and Conference Paper
Face Image Super-Resolution Through Improved Neighbor Embedding
In the process of investigating a case, face image is the most interesting clue. However, due to the limitations of the imaging conditions and the low-cost camera, the captured face images are often Low-Resolu...
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Chapter and Conference Paper
Coupled Discriminant Multi-Manifold Analysis with Application to Low-Resolution Face Recognition
The problem of matching a low-resolution (LR) face image to a gallery of high-resolution (HR) face images is addressed in this letter. Previous research has focused on introducing a learning based super-resolu...
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Chapter and Conference Paper
Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition
This paper presents a new method for human activity recognition using depth sequences. Each depth sequence is represented by three depth motion maps (DMMs) from three projection views (front, side and top) to ...
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Chapter and Conference Paper
Person Re-identification Using Data-Driven Metric Adaptation
Person re-identification, aiming to identify images of the same person from various cameras configured in difference places, has attracted plenty of attention in the multimedia community. In person re-identifi...
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Chapter and Conference Paper
Noise Face Image Hallucination via Data-Driven Local Eigentransformation
Face hallucination refers to inferring an High-Resolution (HR) face image from the input Low-Resolution (LR) one. It plays a vital role in LR face recognition by both manual and computer. The eigentransformati...
