A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Using appearance and context for outdoor scene object classification
IEEE International Conference on Image Processing 2005
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accuratedoi:10.1109/icip.2005.1530281 dblp:conf/icip/BoschMM05 fatcat:3fdzkpkpbzhpdc3e2eyf64h34i