In this paper we propose a method that simultaneously performs image denoising and compression by using multiscale tensor voting. Given a real color image, the pixels are first co...
We present a novel approach to image segmentation using iterated Graph Cuts based on multi-scale smoothing. We compute the prior probability obtained by the likelihood from a color...
We present tensor scale descriptor (TSD)— a shape descriptor for content-based image retrieval, registration, and analysis. TSD exploits the notion of local structure thickness,...
Paulo A. V. Miranda, Ricardo da Silva Torres, Alex...
This paper describes a machine learning approach for visual
object detection which is capable of processing images
extremely rapidly and achieving high detection rates. This
wor...
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...