Most visual classification tasks assume the authenticity of the label information. However, due to several reasons such as difficulty of annotation or inadvertently due to human error, the annotation can often be noisy. This results in wrongly annotated examples. In this paper, we consider the examples that are wrongly annotated to be outliers. The task of learning a robust inlier model in the ...

mutual information (mi) is a widely used similarity metric for multimodality image registration. however, it involves an extremely high computational time especially when it is applied to volume images. moreover, its robustness is affected by existence of local maxima. the multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...

to perform an accurate approach to the spine specially for fracture stabilization a 3d model of spine surgical region may improve this mechanism and it can help the surgeon to have a deeper glance to this scenario. the pre-op planning facility is another advantage of the patient spine specific model to take a chance of making guides to direct pedicle screws safely and increase the pathomechanic...

Progress monitoring is an essential part of large construction projects. As manual progress time-consuming, the need for automation emerges, especially as, nowadays, BIM design buildings and laser scanning capturing as-built situation have become well adopted. However, to be able compare model obtained by design, both models use same reference system, which often not case. Transforming coordina...

Video panoramic image stitching is extremely time-consuming among other challenges. We present a new algorithm: (i) Improved, self-adaptive selection of Harris corners. The successful stitching relies heavily on the accuracy of corner selection. We fragment each image into numerous regions and select corners within each region according to the normalized variance of region grayscales. Such a se...