Discrete wavelet transformations (DWT) followed by embedded zerotree encoding is a very efficient technique for image compression [2, 5, 4]. However, the algorithms proposed in l...
Local image descriptors that are highly discriminative,
computational efficient, and with low storage footprint have
long been a dream goal of computer vision research. In this
...
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Computer vision has traditionally focused on extracting structure, such as depth, from images acquired using thin-lens or pinhole optics. The development of computational imaging i...
Discrete event network simulators have emerged as popular tools for verification and performance evaluation for various wireless networks. Nevertheless, the desire to model such ...
Zhengrong Ji, Junlan Zhou, Mineo Takai, Rajive Bag...