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The interest point (IP) matching algorithms match the points either locally or spatially. We propose a local-spatial IP matching algorithm usable for articulated human body tracking. The local-based stage finds matched IP pairs of two reference and target IP lists using a local-feature-descriptors-based matching method. Then, the spatial-based stage recovers more matched pairs from the remaining unmatched...
In this paper we evaluate the influence of the selection of key points and the associated features in the performance of word spotting processes. In general, features can be extracted from a number of characteristic points like corners, contours, skeletons, maxima, minima, crossings, etc. A number of descriptors exist in the literature using different interest point detectors. But the intrinsic variability...
The timely and accurate identification of plant species is a persistent challenge as pressure from human activity threatens global flora biodiversity. Most existing research on computer based plant species identification has focused on using leaf contour, signature and spectral analysis techniques alongside textural properties of the leaf lamina. However, these global feature based methods often suffer...
The work of coloring hand-drawn animation is done by manually specifying and painting each closed region in line drawings. To make this process more efficient, this research creates associations between closed regions in line drawings of adjacent frames, which need to be colored with the same color. Feature values are first computed from the shape of each closed region, and a cost of associating pairs...
This paper addresses the problem of holistic recognition of printed ligatures in Nastalique writing style of the Urdu language. The main difficulty of the recognition process lies in the large number of classes/ligatures (17,000 different possible ligatures in our Urdu text data). This large number of classes not only limits the efficiency (run-time) of the recognition algorithms, but also makes it...
In this paper we present certain shape descriptors from the literature that enable real-time contour matching. We propose slight modifications to these descriptors and more importantly provide fast and efficient matching techniques that return distances between shapes in the order of milliseconds. We show that applying these instead of more time consuming matching algorithms matching accuracy remains...
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