PT Unknown
AU Miguel Oliveira
   Angel Sappa
   V. Santos
TI Color Correction for Onboard Multi-camera Systems  using 3D Gaussian Mixture Models
BT IEEE Intelligent Vehicles Symposium
PY 2012
BP 299
EP 303
DI 10.1109/IVS.2012.6232141
AB The current paper proposes a novel color correction approach for onboard multi-camera systems. It works by segmenting the given images into several regions. A probabilistic segmentation framework, using 3D Gaussian Mixture Models, is proposed. Regions are used to compute local color correction functions, which are then combined to obtain the final corrected image. An image data set of road scenarios is used to establish a performance comparison of the proposed method with other seven well known color correction algorithms. Results show that the proposed approach is the highest scoring color correction method. Also, the proposed single step 3D color space probabilistic segmentation reduces processing time over similar approaches.
ER