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We proposed a recognition algorithm based on feature extraction and Bag-of-words with language model. Object recognition in 3D rang data of big scene has become an increasingly popular research topic in intelligent vehicle area. Firstly we introduce a fast ground filtering and clustering method and a convenient method to generation training samples. Then we proposed a feature extraction method based...
Multi-view object classification is a challenging problem in image retrieval. One common approach is to apply the visual bag-of-words (BoW) model to all view representations of each object class and compare them with the representation of the query image one by one so as to determine the closest view of the object class. This approach offers good matching performance, yet it demands a large amount...
We review some recent techniques for 3D tracking and occlusion handling for computer vision-based augmented reality. We discuss what their limits for real applications are, and why object recognition techniques are certainly the key to further improvements.
Advances in Internet connections speeds and computer hardware means that web content has grown richer and more interactive for users. One such area is Web3D which has seen the emergence of ISO standard technologies such as VRML (Virtual Reality Modeling Language) and its XML-based (eXtensible Markup Language) successor X3D(eXtensible 3D). X3D, in particular, presents opportunities for further integration...
Human hair has significant effect on the life-likeness of human portrait and human recognition. In this paper, we present a classified method of human hair for hair sketching. We extract shape and appearance features from the training data of hair, including hair raw images and their corresponding sketching templates. Based on these features, we learn twenty-four hairstyles. Given a human hair raw...
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