C. Manjunath

According to our database, C. Manjunath authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Correction to: Image Abstraction Framework as a Pre‑processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches.

M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy, M. Varsha, H. P. Vinutha

SN Comput. Sci., 2022

Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches.

M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy, M. Varsha, H. P. Vinutha

SN Comput. Sci., 2022

HDR and image abstraction framework for dirt free line drawing to convey the shapes from blatant range images.

M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy

Multidimens. Syst. Signal Process., 2022

2021

A Refined Structure Preserving Image Abstraction Framework as a Pre-Processing Technique for Desire Focusing on Prominent Structure and Artistic Stylization.

M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy

Vietnam. J. Comput. Sci., 2021

Structure-preserving NPR framework for image abstraction and stylization.

M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath

J. Supercomput., 2021

Structure Preserving Non-Photorealistic Rendering Framework for Image Abstraction and Stylization of Low-Illuminated and Underexposed Images.

M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath

Int. J. Comput. Vis. Image Process., 2021

2019

A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization.

M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath

Iran J. Comput. Sci., 2019