Side Searching and Object Improvement Methods for Unconstrained Face Recognition Environment.

R Tyagi, GS Tomar, L Shrivastava - Traitement du Signal, 2024 - search.ebscohost.com
For learning about things like strength, level, contrast, range, limits, lost and unseen parts or
borders, etc. in the digital world, picture enhancement and edge detection are essential …

Side searching and object improving algorithms for Images

R Tyagi, GS Tomar… - 2020 IEEE 9th International …, 2020 - ieeexplore.ieee.org
Image improvement and edge discovery are very important in the digital globe to discover
the knowledge related to an entity similar to strength, level, contrast, range, limitations …

Vectorisation of sketched drawings using co-occurring sample circles

A Bonnici, KP Camilleri - … Conference on Computer Analysis of Images and …, 2015 - Springer
This paper presents a drawing vectorisation algorithm which uses multiple concentric
families of circles placed in a dense grid on the image space. We show that any off-centered …

Vectorisation of sketched drawings using co-occurring sample circles

KP Camilleri, A Bonnici - 2015 - um.edu.mt
This paper presents a drawing vectorisation algorithm which uses multiple concentric
families of circles placed in a dense grid on the image space. We show that any off-centered …