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Hand gestures provide a natural and an intuitive way of user interaction in AR/VR applications. However, the most popular and commercially available devices such as the Google Cardboard and Wearality1 still employ only primitive modes of interaction such as the magnetic trigger, conductive lever and have limited user-input capability. The truly instinctual gestures work only with inordinately priced...
Wearable Augmented Reality (AR) devices1 are being explored in many applications for visualizing real-time contextual information. More importantly, these devices can also be used in tele-assistance from remote sites when on-field operators require off-field expert's guidance for trouble-shooting. For an effective communication, touchless hand gestures are the most intuitive to select a Region Of...
Metaphase chromosome analysis is one of the primary techniques utilized in cytogenetics. Observations of chromosomal segments or translocations during metaphase can indicate structural changes in the cell genome, and is often used for diagnostic purposes. Karyotyping of the chromosomes micro-photographed under metaphase is done by characterizing the individual chromosomes in cell spread images. Currently,...
The future of user interfaces will be dominated by hand gestures. In this paper, we explore an intuitive hand gesture based interaction for smartphones having a limited computational capability. To this end, we present an efficient algorithm for gesture recognition with First Person View (FPV), which focuses on recognizing a four swipe model (Left, Right, Up and Down) for smartphones through single...
We present a novel method to update assets for telecommunication infrastructure using google street view (GSV) images. The problem is formulated as a object recognition task, followed by use of triangulation to estimate the object coordinates from sensor plane coordinates, To this end, we have explored different state-of-the-art object recognition techniques both from feature engineering and using...
Most affect based systems analyse facial expressions for emotion detection, and utilize face detection and recognition methods in order to do effective affect analysis. Recent work has demonstrated the efficacy of deep architectures for face recognition by training as classifiers on voluminous datasets. Some architectures are trained as classifiers, and some directly learn an embedding via a triplet...
Container identification and recognition is still performed manually or in a semi-automatic fashion in multiple ports globally. This results in errors and inefficiencies in port operations. The problem of automatic container identification and recognition is challenging as the ISO standard only prescribes the pattern of the code and does not specify other parameters such as the foreground and background...
We present a novel indoor mapping and localisation approach for Augmented Reality (AR) devices that exploits the fusion of inertial sensors with visual odometry. We have demonstrated the approach using Google Glass (GG) and Google Cardboard (GC) supported with an Android phone. Our work presents an application of Extended Kalman Filter (EKF) for sensor fusion for AR based application where previous...
We present an Augmented Reality (AR) based re-configurable framework for inspection that can be utilized in cross-domain applications such as maintenance and repair assistance in industrial inspection, health sector to record vitals, and automotive/avionics domain inspection, amongst others. The novelty of the inspection framework as compared to the existing counterparts are three fold. Firstly, the...
The existing, sophisticated AR gadgets1 in the market today are mostly exorbitantly priced. This limits their usage for the upcoming academic research institutes and also their reach to the mass market in general. Among the most popular and frugal head mounts, Google Cardboard (GC) and Wearality2 are video-see-through devices that can provide immersible AR and VR experiences with a smartphone. Stereo-rendering...
With the advancement in camera technologies and data streaming protocols, AR based applications are proving to be an important aid for inspection, training and supervision tasks in various operations including automotive industry, education etc. We demonstrate an AR based re-configurable inspection framework that can be utilized in cross-domain applications such as maintenance and repair assistance...
In this paper, we propose a two stage pedestrian detector. The first stage involves a cascade of Aggregated Channel Features (ACF) to extract potential pedestrian windows from an image. We further introduce a thresholding technique on the ACF confidence scores that segregates candidate windows lying at the extremes of the ACF score distribution. The windows with ACF scores in between the upper and...
We present an efficient algorithm for fusing a pair of long- and short-exposure images that work in the JPEG domain. The algorithm uses the spatial frequency analysis provided by the discrete cosine transform within JPEG to combine the uniform regions of the long-exposure image with the detailed regions of the short-exposure image, thereby reducing noise while providing sharp details. Two additional...
Interactive image segmentation is extensively used in photo editing when the aim is to separate a foreground object from its background so that it is available for various applications. The goal of the interaction is to get an accurate segmentation of the object with the minimal amount of human effort. To improve the usability and user experience using interactive image segmentation we present three...
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