We propose a method for accelerating the matching and learning processes of the eigenspace method for rotation invariant template matching (RITM). To achieve efficient matching using eigenimages, it is necessary to learn 2D-Fourier transform of eigenimages before matching. Little attentions has been paid to speeding up the learning process, which is important for applications in which a templat...

The soaring popularity of rock climbing stems from the challenge of conceiving and completing routes of increasing difficulty. Separate routes on the wall are often graded by difficulty, but fluctuations in this delineation exist for different facilities and thus a standardized system can provide a more accurate and enjoyable experience for climbers. This project takes an image taken of the cli...

Squiggle is a template-based glyph recognizer in the lineage of “$1 Recognizer”[1] and “Protractor”[2]. It seeks a good fit linear affine mapping between the input and template glyphs which are represented as a list of milestone points along the glyph path. The algorithm can recognize input glyphs invariant of rotation, scaling, skew, and reflection symmetries. In practice the algorithm is fast...

Based on the combined shape feature and texture feature, a fast object detection method with rotation invariant features is proposed in this paper. A quick template matching scheme based online learning designed for online applications is also introduced in this paper. The experimental results have shown that the proposed approach has the features of lower computation complexity and higher dete...

In our previous work on image registration we developed a novel image registration method, called the Intensity Combinatorial Minimization Method (ICMM), that has many appealing features. Two important features of this method is that ICMM is computationally efficient and has the unique feature of being invariant to the image processed by an injective function. In this paper we extend the use of...

We propose a general object localization and retrieval scheme based on object shape using deformable templates. Prior knowledge of an object shape is described by a prototype template which consists of the representative contour/edges, and a set of probabilistic deformation transformations on the template. A Bayesian scheme, which is based on this prior knowledge and the edge information in the...