A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design and evaluation of algorithms for image retrieval by spatial similarity
ACM Transactions on Information Systems (TOIS)
TicTacToon: a paperless system for professional 2D animation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machines applied to face recognition
Proceedings of the 1998 conference on Advances in neural information processing systems II
PicToon: a personalized image-based cartoon system
Proceedings of the tenth ACM international conference on Multimedia
The problems of computer-assisted animation
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Video2Cartoon: generating 3D cartoon from broadcast soccer video
Proceedings of the 13th annual ACM international conference on Multimedia
Re-using traditional animation: methods for semi-automatic segmentation and inbetweening
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Perspective-aware cartoon clips synthesis
Computer Animation and Virtual Worlds - CASA'2008 Special Issue
Applying Fuzzy Mathematics to Formal Models in Comparative Politics
Applying Fuzzy Mathematics to Formal Models in Comparative Politics
Animating expressive faces across languages
IEEE Transactions on Multimedia
Fuzzy Control System Design via Fuzzy Lyapunov Functions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A weighted dominant color descriptor for content-based image retrieval
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
In this paper, a novel method called fuzzy diffusion maps (FDM) is proposed to evaluate cartoon similarity, which is critical to the applications of cartoon recognition, cartoon clustering and cartoon reusing. We find that the features from heterogeneous sources have different influence on cartoon similarity estimation. In order to take all the features into consideration, a fuzzy consistent relation is presented to convert the preference order of the features into preference degree, from which the weights are calculated. Based on the features and weights, the sum of the squared differences (L2) can be calculated between any cartoon data. However, it has been demonstrated in some research work that the cartoon dataset lies in a low-dimensional manifold, in which the L2 distance cannot evaluate the similarity directly. Unlike the global geodesic distance preserved in Isomap, the local neighboring relationship preserved in Locally Linear Embedding, and the local similarities of neighboring points preserved in Laplacian Eigenmaps, the diffusion maps we adopt preserve diffusion distance summing over all paths of length connecting the two data. As a consequence, this diffusion distance is very robust to noise perturbation. Our experiment in cartoon classification using Receiver Operating Curves shows fuzzy consistent relation's excellent performance on weights assignment. The FDM's performance on cartoon similarity evaluation is tested on the experiments of cartoon recognition and clustering. The results show that FDM can evaluate the cartoon similarity more precisely and stably compared with other methods.