Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs [PDF]
arXiv, 2013 The idea of computer vision as the Bayesian inverse problem to computer graphics has a long history and an appealing elegance, but it has proved difficult to directly implement.
Kulkarni, Tejas D. +3 more
core +5 more sources
Computer Vision, Imaging and Computer Graphics. Theory and Applications
, 2011 International Joint Conference, VISIGRAPP 2010, Angers, France, May 17-21, 2010.
Ana Paula Cláudio +7 more
openalex +4 more sources
Artistic Image Technology and Computer Graphics
The Journal of The Institute of Image Information and Television Engineers, 2018 Nobuhiko Mukai +3 more
openalex +3 more sources
Subjective perception of visual field defects using random noise-moving images in patients with glaucoma: A comparison of computer graphics and analog noises. [PDF]
PLoS OneInoue A, Koike E, Maeda N, Matsumoto C.
europepmc +3 more sources
DigiFace-1M: 1 Million Digital Face Images for Face Recognition [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 State-of-the-art face recognition models show impressive accuracy, achieving over 99.8% on Labeled Faces in the Wild (LFW) dataset. Such models are trained on large-scale datasets that contain millions of real human face images collected from the ...
Gwangbin Bae +7 more
semanticscholar +1 more source
Distinguishing computer graphics from natural images using convolution neural networks
International Workshop on Information Forensics and Security, 2017 This paper presents a deep-learning method for distinguishing computer generated graphics from real photographic images. The proposed method uses a Convolutional Neural Network (CNN) with a custom pooling layer to optimize current best-performing ...
Nicolas Rahmouni +3 more
semanticscholar +1 more source
Dataset for classification of computer graphic images and photographic images
IAES International Journal of Artificial Intelligence (IJ-AI), 2022 <span lang="EN-US">The recent advancements in computer graphics (CG) image rendering techniques have made it easy for the content creators to produce high quality computer graphics similar to photographic images (PG) confounding the most naïve users. Such images used with negative intent, cause serious problems to the society.
Halaguru Basavarajappa Basanth Kumar +1 more
openaire +2 more sources
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet
, 2022 The problem of distinguishing natural images from photo-realistic computer-generated ones either addresses natural images versus computer graphics or natural images versus GAN images, at a time.
Gangan, Manjary P, K, Anoop, L, Lajish V
core +1 more source
Constructing the invisible - Computer graphics and the end of Optical Media [PDF]
, 2018 This media archaeology of early computer graphics tackles the relation between the imaginary and technical media. We focus on the algorithmic procedures and mathematical principles driving 3D computer graphics during the 1970’s and we frame them in a ...
Montaña, Ricardo Cedeño +1 more
core +2 more sources
Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 Recent advances in media generation techniques have made it easier for attackers to create forged images and videos. State-of-the-art methods enable the real-time creation of a forged version of a single video obtained from a social network.
H. Nguyen, J. Yamagishi, I. Echizen
semanticscholar +1 more source