DocumentCode
150426
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
fYear
2014
fDate
22-24 April 2014
Firstpage
221
Lastpage
227
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014 International Conference on
Conference_Location
Islamabad
Print_ISBN
978-1-4799-5131-4
Type
conf
DOI
10.1109/iCREATE.2014.6828369
Filename
6828369
Link To Document