Learn More
Depth-image based rendering is a popular technique for rendering virtual views for the multi-view video plus depth (MVD) 3DTV format. Instead of transmitting a high number of views to the receiver, only a few views are transmitted along with their corresponding depth maps and the missing views are interpolated from these transmitted views. This process is(More)
Pedestrian detection is one of the major goals in advanced driver assistance systems (ADAS) which has become an active research area in recent years. In this paper, we present a stereo based pedestrian detection system by fusing the depth and color data provided by a stereo vision camera on a moving platform. The proposed method uses an adaptive window for(More)
In this paper, we present a novel region of interest (ROI) generation method for stereo-based pedestrian detection systems. In the proposed algorithm, the vertical gradient of the clustered depth map is used to find the flat regions and variable-sized bounding boxes are used to extract the ROIs on the boundary of these regions. The ROIs are then classified(More)
A novel approach for the extraction of rectangular boundaries from aerial image data  is proposed and presented in this paper. In this approach, a Centroid Neural Network (CNN) with a metric of line segments is also proposed for  connecting low-level linear structures or grouping similar objects.  Extracting rectangular(More)
An unsupervised competitive neural network for efficient recognition of facial images is proposed. The proposed unsupervised competitive neural network, called centroid neural network with Chi square distance measure (CNN-&#x03C7;<sup>2</sup>), employs the Chi square measure as its distance measure and utilizes the local binary pattern (LBP) as an effective(More)
A prediction scheme for sunspot series using a Multiscale Bilinear Recurrent Neural Network (M-BRNN) is proposed in this paper. The recurrent neural network adopted in this scheme is the Bilinear recurrent neural network. The M-BRNN is a combination of several Bilinear Recurrent Neural Network (BRNN) models. Each BRNN predicts a signal at a certain(More)
In this paper, a depth map estimation algorithm that performs stereo matching without explicit image rectification has been proposed. In the proposed method, the fundamental matrix is estimated by using Random Sample Consensus and the 8-point algorithm. Then, the epilolar line equation obtained by the projective mapping is derived and the search for point(More)