Direct Edge Alignment (D-EA)

Abstract There has been a paradigm shifting trend towards feature-less methods due to their elegant formulation, accuracy and ever increasing computational power. In this work, we present a direct edge alignment approach for 6-DOF tracking. We argue that photo-consistency based methods are plagued by a much smaller convergence basin and are extremely sensitive to noise, changing illumination … Continue reading Direct Edge Alignment (D-EA) →

Color Consistency from Multiple-View Images

Abstract In this paper we address the problem of multiview color consistency. We propose to use a graph model of 3d positions obtained using matched dense feature points. We define an energy functional on this model which captures relationship of the colors across views while also imposing a smoothness cost to obtain optimal colors for the 3d … Continue reading Color Consistency from Multiple-View Images →

Detection of Mitosis in Multispectral Breast Cancer Imagery

Mitotic count is an important parameter for the prognosis of breast cancer. However, mitosis detection is a challenging problem and has not been addressed well in the literature. Indeed, mitosis detection is very challenging since mitosis appear in image as small objects with a large variety of shapes, and they can thus be confused with … Continue reading Detection of Mitosis in Multispectral Breast Cancer Imagery →

AutoDBC : Scalable System for Classification of White Blood Cells from Leishman Stained Blood Stain Images

https://autodbc.wordpress.com/2011/06/26/autodbc-scalable-system-for-classification-of-white-blood-cells-from-leishman-stained-blood-stain-images/

LIPSyM for Cell Detection

Abstract Diabetes can be associated with a reduction in functional β cell mass, which must be restored if the disease is to be cured or progress is to be arrested. To study the β cell count, it is necessary to also determine the number of nuclei within the insulin stained area. It can take a … Continue reading LIPSyM for Cell Detection →