TY - JOUR AU - Naveen Onkarappa AU - Angel Sappa PY - 2013// TI - A Novel Space Variant Image Representation T2 - JMIV JO - Journal of Mathematical Imaging and Vision SP - 48 EP - 59 VL - 47 IS - 1-2 PB - Springer US KW - Space-variant representation KW - Log-polar mapping KW - Onboard vision applications N2 - Traditionally, in machine vision images are represented using cartesian coordinates with uniform sampling along the axes. On the contrary, biological vision systems represent images using polar coordinates with non-uniform sampling. For various advantages provided by space-variant representations many researchers are interested in space-variant computer vision. In this direction the current work proposes a novel and simple space variant representation of images. The proposed representation is compared with the classical log-polar mapping. The log-polar representation is motivated by biological vision having the characteristic of higher resolution at the fovea and reduced resolution at the periphery. On the contrary to the log-polar, the proposed new representation has higher resolution at the periphery and lower resolution at the fovea. Our proposal is proved to be a better representation in navigational scenarios such as driver assistance systems and robotics. The experimental results involve analysis of optical flow fields computed on both proposed and log-polar representations. Additionally, an egomotion estimation application is also shown as an illustrative example. The experimental analysis comprises results from synthetic as well as real sequences. SN - 0924-9907 UR - http://dx.doi.org/10.1007/s10851-012-0384-5 N1 - ADAS; 600.055; 605.203; 601.215 ID - Naveen Onkarappa2013 ER -