Abstract
Development of 3D scenes from 2D pictures is the centrality venture for an effective prologue to 3D multimedia service. Depth estimation is the basic phenomena in the construction of 3D from multiple images. Depth determination from single view 2D images is most probably the challenging and more difficult process. This paper presents a new depth estimation approach based on human height as a reference. The proposed approach consists of two phases. In the primary stage, expansive picture set has been caught (indoor situations which incorporate human in remaining with clear foundation) and human item is removed from the caught picture. At that point, mathematical model has been built from the examination. In the second stage, depth value is assessed by utilizing mathematical model. These evaluated depth data is utilized for further process, for example, 3D view era.
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References
Scharstein D, Szeliski R (2002) A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int J Comput Vis 47:7–42
Saxena A, Chung SH, Ng AY. Learning depth from single monocular images
Fidan B, Gazi V, Zhai S, Cen N, Karata E (2013) Single-view distance-estimation-based formation control of robotic swarms. IEEE Trans Ind Electron 60(12)
Murali S, Avinash N (2004) Estimation of depth information from a single view in an image. In: Proceedings of 4th Indian conference for computer vision graphics and image processing, Calcutta, India
Deepu R, Murali S, Vikram R (2013) A mathematical model for the determination of distance of an object in a 2D image. In: The 17th international conference on image processing, computer vision & pattern recognition (IPCV’13) at World Comp i.e. The 2013 world congress in computer science, computer engineering, and applied computing, 22–25 July 2013, Las Vegas, USA
Jung J-l, Ho Y-S (2010) Depth map estimation from single-view image using object classification based on Bayesian learning. 2010 IEEE. 978-1-4244-6379-4/10
Deepu R, Honnaraju B, Murali S (2014) Automatic generation of second image from an image for stereovision. In: Third international conference on advances in computing, communications and informatics (ICACCI-2014), Delhi, India. 24–27 Sept 2014
Kapur JN, Sahoo PK, Wong AKC (1985) A new method for gray-level picture thresholding using the entropy of the histogram. Graph Models Image Process 29:273–285
Acknowledgements
Support from the college Maharaja Institute of Technology Mysore is gratefully acknowledged. We also acknowledge Visvesvaraya Technological University, Belgaum, India
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Honnaraju, B., Deepu, R., Murali, S. (2018). An Effective Approach for Depth Estimation from 2D Image. In: Guru, D., Vasudev, T., Chethan, H., Kumar, Y. (eds) Proceedings of International Conference on Cognition and Recognition . Lecture Notes in Networks and Systems, vol 14. Springer, Singapore. https://doi.org/10.1007/978-981-10-5146-3_29
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DOI: https://doi.org/10.1007/978-981-10-5146-3_29
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