Subbhuraam Sinduja

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This paper presents a mobile product recognition system using bag-of-visual phrase (BoP). It aims to develop a mobile product recognition and recommendation system where a user can recognize a commercial product of interest by taking a picture of it using the mobile phone, and then search for the relevant information (e.g., price, nearby store, consumer(More)
The performance of local descriptors such as SIFT drops under severe illumination changes. In this paper, we propose a Discriminative and Contrast Invertible (DCI) local feature descriptor. In order to increase the discriminative ability of the descriptor under illumination changes, a Laplace gradient based histogram is proposed. Moreover, a robust contrast(More)
This letter proposes a new Bijective Weighted Kernel (BWK) with Connected Component Analysis (CCA) for visual object search. Existing match kernels often employ Term Frequency-Inverse Document Frequency (TF-IDF) weighting which is based on the occurrence frequency of visual words. As opposed to the TF-IDF, the proposed bijective match kernel is designed to(More)
In the Wireless Sensor Networks (WSNs), limited energy resource is one of the limitations of the wireless sensor nodes. For the energy efficient packet transmission in the WSNs, we introduce a new algorithm called Finest Energy Efficient Routing (FEER) Algorithm. In this algorithm, the energy efficiency is achieved through the comparison of the energy of(More)
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