This paper surveys the field of nonphotorealistic rendering (NPR), focusing on techniques
for transforming 2D input (images and video) into artistically stylized renderings. We first …

Strategies aimed at keeping the user's interest in using computer applications are being
studied to provide greater user engagement, and can influence how people interact with …

We present TouchCut; a robust and efficient algorithm for segmenting image and video
sequences with minimal user interaction. Our algorithm requires only a single finger touch to …

Emotions are a major part of the human existence and social interactions. Some might say
that emotions are one of the aspects that make us truly human. However, while we express …

This survey presents a comprehensive study on non-photorealistic rendering (NPR). NPR
technique renders 2D input image into abstracted and artistic stylized images. NPR mainly …

Identification of an individual artist's touch on paintings is studied using surface metrology.
Paintings' topographies were measured using focus variation and stitching, creating 13× 13 …

We combine a machine vision system that recognises emotions and a non-photorealistic
rendering (NPR) system to automatically produce portraits which heighten the emotion of the …

In the last few years, artistic image-making with deep learning models has gained a
considerable amount of traction. A large number of these models operate directly in the pixel …

I argue that we need to increase our consideration of the interaction that is possible and/or
needed for the NPAR algorithms we develop. Depending on the application domain of a …

The growing interest in affective computing is expected to have its beneficial impact on
consumer lifestyle products. Especially emphatic applications-applications that make you …