Recognizing objects by their shapes, has been an interesting problem in image
understanding, and has attracted researcherss attention. The superiority of Convolutional …

Recognizing cartoon characters accurately is important for animators to design and create
cartoon scenarios by utilizing existing cartoon materials. Current deep learning approaches …

With the widespread adoption of digital modeling and manufacturing technologies, the
volume of 3D CAD model data is rapidly increasing. Reusing existing resources can shorten …

Existing methods for extracting 3D curve skeletons mostly suffer from the difficulty of finding
the center points of 3D shapes and tedious manual adjustments of the thresholds for pruning …

Radon transform based on complex shape detection is one of the most important challenges
in the field of pattern recognition. Finding a robust transform for extracting and identifying …

We propose a new measure (Γ) to quantify the degree of self-similarity of a shape using
branch length similarity (BLS) entropy which is defined on a simple network consisting of a …

In recent decades, the need for efficient and effective image search from large databases
has increased. In this paper, we present a novel shape matching framework based on …

A wealth of knowledge is kept in libraries and cultural institutions in various digital forms
without, however, the possibility of a simple term search, let alone of a substantial semantic …

In this work, a scale-space shape descriptor is proposed for shape retrieval, which is
motivated by the multiscale mechanism of our human visual perception. First, morphological …

The bisector function is an important tool for analyzing and filtering Euclidean skeletons. In
this paper, we are proposing a new way to compute 2D and 3D discrete bisector function …