Painterly rendering techniques: A state-of-the-art review of current approaches

In this publication we will look at the different methods presented over the past few decades which attempt to recreate digital paintings. While previous surveys concentrate on the broader subject of non-photorealistic rendering, the focus of this paper is firmly placed on painterly rendering techniques. We compare different methods used to produce different output painting styles such as abstract, colour pencil, watercolour, oriental, oil and pastel. Whereas some methods demand a high level of interaction using a skilled artist, others require simple parameters provided by a user with little or no artistic experience. Many methods attempt to provide more automation with the use of varying forms of reference data. This reference data can range from still photographs, video, 3D polygonal meshes or even 3D point clouds. The techniques presented here endeavour to provide tools and styles that are not traditionally available to an artist. Copyright © 2012 John Wiley & Sons, Ltd

Bulletin of the Center for Children's Books 46 (09) 1993

published or submitted for publicatio

Bulletin of the Center for Children's Books 41 (02) 1987

published or submitted for publicatio

Spartan Daily March 22, 2011

Volume 136, Issue 29https://scholarworks.sjsu.edu/spartandaily/1136/thumbnail.jp

Real-Time Stylized Rendering for Large-Scale 3D Scenes

While modern digital entertainment has seen a major shift toward photorealism in animation, there is still significant demand for stylized rendering tools. Stylized, or non-photorealistic rendering (NPR), applications generally sacrifice physical accuracy for artistic or functional visual output. Oftentimes, NPR applications focus on extracting specific features from a 3D environment and highlighting them in a unique manner. One application of interest involves recreating 2D hand-drawn art styles in a 3D-modeled environment. This task poses challenges in the form of spatial coherence, feature extraction, and stroke line rendering. Previous research on this topic has also struggled to overcome specific performance bottlenecks, which have limited use of this technology in real-time applications. Specifically, many stylized rendering techniques have difficulty operating on large-scale scenes, such as open-world terrain environments. In this paper, we describe various novel rendering techniques for mimicking hand-drawn art styles in a large-scale 3D environment, including modifications to existing methods for stroke rendering and hatch-line texturing. Our system focuses on providing various complex styles while maintaining real-time performance, to maximize user-interactability. Our results demonstrate improved performance over existing real-time methods, and offer a few unique style options for users, though the system still suffers from some visual inconsistencies

Towards Universal Object Detection

Object detection is one of the most important and challenging research topics in computer vision. It is playing an important role in our everyday life and has many applications, e.g. surveillance, autonomous driving, robotics, drone, medical imaging, etc. The ultimate goal of object detection is a universal object detector that can work very well in any case under any condition like human vision system. However, there are multiple challenges on the universality of object detection, e.g. scale-variance, high-quality requirement, domain shift, computational constraint, etc. These will prevent the object detector from being widely used for various scales of objects, critical applications requiring extremely accurate localization, scenarios with changing domain priors, and diverse hardware settings. To address these challenges, multiple solutions have been proposed in this thesis. These include an efficient multi-scale architecture to achieve scale-invariant detection, a robust multi-stage framework effective for high-quality requirement, a cross-domain solution to extend the universality over various domains, and a design of complexity-aware cascades and a novel low-precision network to enhance the universality under different computational constraints. All these efforts have substantially improved the universality of object detection, and the advanced object detector can be applied to broader environments

Bulletin of the Center for Children's Books 50 (01) 1996

published or submitted for publicatio

A Survey and Analysis of the Implementation of Visual Art Standards in Mississippi Classrooms

The purpose of this thesis was to determine whether art teachers were implementing Mississippi State Frameworks for art. Teachers who opted not to use the frameworks were asked to list teaching methods used in lieu of the state- suggested teaching strategies. This study was conducted through survey, although some information was gathered through informal interviews. Participants included members of the Mississippi Art Education Association and K-12 teachers in Jackson city schools. Of the one hundred and sixteen surveys mailed out to Mississippi art teachers, fifty were returned. Of those who responded, sixty-four percent (N=32) were adherent to the Mississippi State Frameworks. The findings demonstrate that the majority of Mississippi art teachers utilized state standards when planning lessons and curriculum. The remaining thirty-six percent who did not use the standards cited reasons for not doing and provided their alternate teaching methods. Besides asking whether teachers used the frameworks, other questions not directly related to the original purpose of the study were included on the survey. The responses to these additional questions revealed aspects about art curriculum within state classrooms, including teacher education, certification, use of textbooks, art media, and grading systems. This survey provided insight into the content material that was being taught in Mississippi art classrooms and also gathered opinions about the usefulness of the state’s art educational standards when planning visual art lessons

Spartan Daily, August 27, 2008

Volume 131, Issue 2https://scholarworks.sjsu.edu/spartandaily/10486/thumbnail.jp