Title :
Depth estimation from a single camera image using power fit
Author :
Akhlaq, Muhammad Umair ; Izhar, Umer ; Shahbaz, Umar
Author_Institution :
Coll. of Electr. & Mech. Eng., Dept. of Mechatron. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
Abstract :
The research is focused on depth evaluation using a single camera. 2D images can be used for finding the depth of a particular object in the image. Algorithm uses marker(s) to update its orientation and to compute the distance. Initially the shape of the marker is fixed and is pre-defined but as the research expands improvements will make the algorithm to work autonomously using everyday objects as markers. Secondly, the approach is not dependent upon expensive equipment and overall computation cost is also low. Ultimately the algorithm is capable of producing the output in just a few seconds with almost 91.84% accuracy.
Keywords :
cameras; curve fitting; image classification; 2D images; computation cost; depth estimation; expensive equipment; particular object; power fit; single camera image; Cameras; Computer vision; Curve fitting; Estimation; Image processing; Polynomials; Shape; Curve Fitting; Depth Estimation; Distance Measurement; Image Markers; Single Camera Image & Classification;
Conference_Titel :
Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014 International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4799-5131-4
DOI :
10.1109/iCREATE.2014.6828369