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We propose a method to automatically detect emotions in unconstrained settings as part of the 2013 Emotion Recognition in the Wild Challenge [16], organized in conjunction with the ACM International Conference on Multimodal Interaction (ICMI 2013). Our method combines multiple visual descriptors with paralinguistic audio features for multimodal(More)
Accelerating Hough transform in hardware has been of interest due its popularity in real-time capable image processing applications. In most existing linear Hough transform architectures, an m times medge map is serially read for processing, resulting in a total computation time of at least m<sup>2</sup> cycles. In this paper, we propose a novel parallel(More)
The Hough transform, a widely used operation in image processing, suffers from being computationally intensive. In this letter, we propose a method called additive Hough transform (AHT) to accelerate Hough transform computation. It is based on parallel processing of k<sup>2</sup> points, obtained by dividing the edge map into uniform blocks using a k times(More)
Detection of lanes is an important problem in the upcoming field of vehicle safety and navigation, for which linear Hough transform (HT) is widely used. In order to meet real-time requirements, various attempts to accelerate the HT have been proposed in the past, including hierarchical HT. Existing hierarchical approaches involve the overhead of recomputing(More)
In this paper, we propose novel block-based techniques for robust extraction of lane marking edges in complex scenarios, such as in the presence of shadows, vehicles, other road markings etc. The techniques are based on the properties of lane markings and involve a two-stage processing: (1) generation of customized edge maps using histograms of gradient(More)
In this paper, we present a novel method for tracking the motion of a camera through cylindrical passages. The proposed technique is based on studying movement of feature points in the image stream captured during traversal of the camera. It applies various image-processing algorithms for analysis in an 'unrolled' domain to provide a quick estimate of(More)
Non-collinear edge pixels are equivalent to noise for the linear Hough transform (LHT). Existing methods that reduce the number of points for Hough voting are based on random and/or probabilistic selection. Such methods select both collinear and noisy pixels, thereby incurring unwanted computational costs. In this paper, we propose a novel gradient angle(More)
The CORDIC algorithm, owing to its hardware efficiency, has been widely employed for computing complex mathematical operations. In this paper, a unified CORDIC-based processor for image processing is presented. For this, a wide range of popular algorithms like image enhancement in the spatial domain, frequency transforms, image rotation, edge detection etc.(More)