291 Result(s)
within
Chapter
Conference Paper
**li Zhang
Algorithm Analysis and Problem Complexity
Computer Graphics
Image Processing and Computer Vision
Pattern Recognition
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Chapter and Conference Paper
A Convolutional Neural Network for Gait Recognition Based on Plantar Pressure Images
This paper proposed a novel gait recognition method that is based on plantar pressure images. Different from many conventional methods where hand-crafted features are extracted explicitly. We utilized Convolut...
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Chapter and Conference Paper
Supervised Hashing with Deep Convolutional Features for Palmprint Recognition
Palmprint representations using multiple filters followed by encoding, i.e. OrdiCode and SMCC, always achieve promising recognition performance. With the similar architecture but distinct idea, we propose a no...
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Chapter and Conference Paper
Coarse-to-Fine Iris Recognition Based on Multi-variant Ordinal Measures Feature Complementarity
Iris recognition inevitably need to tackle extremely large scale database matching issue which challenges the iris recognition in both computing efficiency and accuracy. As a feasible solution, the iris image ...
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Chapter and Conference Paper
Realtime Human-UAV Interaction Using Deep Learning
In this paper, we propose a realtime human gesture identification for controlling a micro UAV in a GPS denied environment. Exploiting the breakthrough of deep convolution network in computer vision, we develop...
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Chapter and Conference Paper
2D Fake Fingerprint Detection for Portable Devices Using Improved Light Convolutional Neural Networks
With the increasing use of fingerprint authentication systems on portable devices, fake fingerprint detection has become growing important because fingerprints can be easily spoofed from a variety of available...
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Chapter and Conference Paper
Content-Independent Face Presentation Attack Detection with Directional Local Binary Pattern
Aiming to counter photo attack and video attack in face recognition (FR) systems, a content-independent face presentation attack detection scheme based on directional local binary pattern (DLBP) is proposed. I...
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Chapter and Conference Paper
Adv-Kin: An Adversarial Convolutional Network for Kinship Verification
Kinship verification in the wild is an interesting and challenging problem, which aims to determine whether two unconstrained facial images are from the same family. Most previous methods for kinship verificat...
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Chapter and Conference Paper
DeepGait: A Learning Deep Convolutional Representation for Gait Recognition
Human gait, as a soft biometric, helps to recognize people by walking. To further improve the recognition performances, we propose a novel video sensor-based gait representation, DeepGait, using deep convoluti...
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Chapter and Conference Paper
Windowed DMD for Gait Recognition Under Clothing and Carrying Condition Variations
In this paper, we introduce a method based on Windowed Dynamic Mode Decomposition to enhance the texture of body parts on the Gait Energy Image that are not affected by the clothing and carrying condition variati...
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Chapter and Conference Paper
Face Detection with Better Representation Using a Multi-region WR-Inception Network Model
This paper proposes a multi-region WR-Inception network model for face detection based on the Faster RCNN framework. Firstly, we utilize multi-region features to obtain better face representation and introduce...
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Chapter and Conference Paper
Adapting Convolutional Neural Networks on the Shoeprint Retrieval for Forensic Use
Shoeprint is an important evidence for crime investigation. Many automatic shoeprint retrieval methods have been proposed in order to efficiently provide useful information for the identification of the crimin...
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Chapter and Conference Paper
Local Orientation Binary Pattern with Use for Palmprint Recognition
In this paper, we extensively exploit the discriminative orientation features of palmprint, including the principal orientation and corresponding orientation confidence, and further propose a local orientation...
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Chapter and Conference Paper
The Boolean Map Distance: Theory and Efficient Computation
We propose a novel distance function, the boolean map distance (BMD), that defines the distance between two elements in an image based on the probability that they belong to different components after thresholdin...
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Chapter and Conference Paper
Truncated Nuclear Norm Based Low Rank Embedding
Dimensionality reduction, also called feature extraction, is an important issue in pattern recognition. However, many existing dimensionality reduction methods, such as principal component analysis, fail when ...
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Chapter and Conference Paper
Detecting Face with Densely Connected Face Proposal Network
Accuracy and efficiency are two conflicting challenges for face detection, since effective models tend to be computationally prohibitive. To address these two conflicting challenges, our core idea is to shrink...
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Chapter and Conference Paper
Mobile Iris Recognition via Fusing Different Kinds of Features
Iris recognition is widely accepted in different kinds of applications. When it comes to mobile iris recognition, the task is quite challenging because of the low quality of iris images. To solve this problem,...
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Chapter and Conference Paper
Comparison and Fusion of Multiple Types of Features for Image-Based Facial Beauty Prediction
Facial beauty prediction is an emerging research topic that has many potential applications. Existing works adopt features either suggested by putative rules or borrowed from other face analysis tasks, without...
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Chapter and Conference Paper
An Eye Localization Method for Iris Recognition
Eye localization plays a fundamental role in iris recognition, for it can define the effective regions used for iris recognition. This paper presents a new eye localization method based on light spots detectio...
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Chapter and Conference Paper
Gesture Recognition Based on Deep Belief Networks
Analyzing the data acquired from the inertial sensor in mobile phones has been proved to be an effective way in gesture recognition. This research introduces deep belief networks (DBN) to solve the inertial se...
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Chapter and Conference Paper
Gait Identification by Joint Spatial-Temporal Feature
In order to extract the gait spatial-temporal feature, we propose a novel Long-Short Term Memory (LSTM) network for gait recognition in this paper. Given a gait sequence, a CNNs unit with three layers convolut...
