Abstract
A unique approach for estimating the depth from a monocular moving camera has been synthesized. Good interest points are obtained using the Shi-Tomasi technique for every frame in real time. Lucas-Kanade method is applied on these interest points of two consecutive frames which computes feature of the frames and the maps the interest points. It utilizes mainly the Lucas approach for estimation of depth from continuous input of frames from the moving camera which helps in estimating relative depth amongst various objects in the scene. Two approaches have been designed to solve this problem.
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© 2012 Springer-Verlag Berlin Heidelberg
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Handa, A., Sharma, P. (2012). Real-Time Depth Estimation from a Monocular Moving Camera. In: Parashar, M., Kaushik, D., Rana, O.F., Samtaney, R., Yang, Y., Zomaya, A. (eds) Contemporary Computing. IC3 2012. Communications in Computer and Information Science, vol 306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32129-0_51
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DOI: https://doi.org/10.1007/978-3-642-32129-0_51
Publisher Name: Springer, Berlin, Heidelberg
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