מאיר בר זוהר

הרצאתי על נושאי Machine learning בעזרת מודלים סטטייסטים

מנחה סטודנטים לתארים גבוהים כמו Msc, ו Phd בפקולטה לחשמל בטכניון

:Algorithms development for the following subjects

Automatic 3D and 2D Object Recognition

Small and large target tracking, for static and dynamic system

Expert systems techniques applications

Automatic finding of main roads in aerial images

:Algorithms development for the following subjects

Automatic 3D and 2D Object Recognition

Small and large target tracking, for static and dynamic system

Expert systems techniques applications

Automatic finding of main roads in aerial images

Noise reduction in color images

Color image processing

Compression and enhancement techniques for video

Digital signal processing adaptive filters

:Algorithms development for the following subjects

3D reconstruction from stereo images

3D and 2D Object Recognition

Small and large target tracking, for static and dynamic system

Rigid 2D/3D Registration

Noise reduction in color images

Expert systems techniques applications

Color image processing

Compression and enhancement techniques for video

Deep learning CNN approach that improves both color rendition
and image sharpness
by translating ordinary photos into DSLR-quality
.images

Residual Learning of
Deep CNN for Image Denoising