An approximate search query on a collection of strings finds those strings in the collection that are similar to a given query string, where similarity is defined using a given si...
We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
This paper presents a feature-based watermarking scheme which is robust to geometric and common image processing attacks. The improved Harris corner detector is used to find the r...
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...