EPAComp: An Architectural Model for EPA Composition
Luís Henrique Neves Villaça, Sean Wolfgand Matsui Siqueira, et al.
SBSI 2023
The main focus of this paper is on the architectural and implementation issues of a prototype of a low-level image segmentation architecture (LISA). LISA performs real-time (20 Mpixels/sec) gray-level image segmentation, i.e., assignment of image pixels to a few user-selected classes. A decision-theoretic pattern-recognition approach is used, which is divided into a feature extraction part and a decision analysis part. The feature extraction part is based on extracting local and global descriptions for all of the image pixels. In the decision analysis part we designed a novel no-cross-term classifier, which significantly reduced the hardware complexity. The LISA prototype has been built with custom and off-the-shelf VLSI chips. Some measured results will also be reported. © 1993 Springer-Verlag.
Luís Henrique Neves Villaça, Sean Wolfgand Matsui Siqueira, et al.
SBSI 2023
Hagen Soltau, Lidia Mangu, et al.
ASRU 2011
Silvio Savarese, Holly Rushmeier, et al.
Proceedings of the IEEE International Conference on Computer Vision
Guangnan Ye, Dong Liu, et al.
ICCV 2013