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In real-world applications, factors such as head pose variation, occlusion, and poor image quality make facial expression recognition (FER) an open challenge. In this paper, a novel conditional convolutional neural network enhanced random forest (CoNERF) is proposed for FER in unconstrained environment. Our method extracts robust deep salient features from saliency-guided facial patches to reduce...
In this paper, we present a novel method to classify directions of capital flows in Internet finance. Our method is different from previous text classification methods in that extracts key sentences which may directly reflect the semantics of input text before classification. We use the Bi-LSTM model as a classifier to process input sentences. In this paper, we represent the matrix of key sentences...
Recognizing human daily activities will enhance the capability of a service robot that interacts with humans. Such a task is challenging due to the complex and dynamic nature of human gestures in interaction, which brings about much difficulty in the reliability and real-time performance of activity recognition. In this paper a reliable and fast RGB-D based daily activity recognition method for service...
In this Letter, through-wall detection problem with a target behind the wall, which is represented by a dielectric slab with unknown parameters is considered. A two-step detection procedure is presented. First, an effective clutter mitigation method based on singular value decomposition (SVD) is proposed. Then, through-wall detection problem is transformed to find the nonlinear relationship between...
In this paper, an efficient stereo vision based visual odometry algorithm is proposed to solve the long-range outdoor localization problem of a mobile robot using a binocular camera. An improved method of feature matching and tracking based on SIFT algorithm is presented. The color information is used to effectively eliminate wrong feature matching, and the BBF tree is adopted to speed up the search...
The gray gradient co-occurrence matrix and BP neural network were presented about the issue of the recognition of oceanic internal waves in a MODIS remote sensing image. First, the gray gradient co-occurrence matrix was used to extract the texture features of internal waves. Second, the appropriate eigenvalues extracted were selected as components of the input vector of the BP neural network.. Third,...
This paper proposes a novel face recognition algorithm inspired by the selective attention of Human Visual System (HVS). We record four observers' eye movements when they are viewing 100 FRGC [1] frontal view face images and find that the observers are highly consistent in the regions fixated. Inspired by the fact that fovea of HVS has a much higher spatial acuity than the periphery, a face recognition...
Under the competition pressure and driven by the technology development, the number of value-added services will increase very rapidly to improve the ARPU (average revenue per user) of the telecom industries. That makes the feature interaction (FI) problem more serious in the emerging telecom system. Besides, to make the creation of a feature easier, service design is open to the third party in a...
Gaze movement plays an important role in human visual search system. How to simulate such a system to efficiently encode and decode gaze movement for target searching is a meaningful issue. There are two key points that should be addressed for this issue. First, eye movement is affected by the visual context that includes more than one object in images. It is important to study how to encode the spatial...
Combining different machine learning models (decision fusion) has been shown to be an effective method for estimating the underlying physical mechanism by allowing the models to reinforce each other when consensus exists, or, conversely, negate each other when there is no consensus. To be effective, decision fusion requires that the different models provide some degree of complementary information...
Face representation is important for face recognition system. Though most popular face representations are based on uniform grid sampling, some recent face recognition systems adopt weighted sampling on the different regions of a face. Psychological analysis of visual attention or human eye fixations on human face images may suggest some cues for face representation. human visual system (HVS) gives...
Perceiving the position of the mobile robot in an environment is an important element for an autonomous or semi-autonomous robot. In this paper we present a novel localization paradigm using topological map with tiered features, which is robust to rotation, illumination variations and scale changes. The topological model is extracted from natural landmarks and the normalized Zernike moments are calculated...
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