Detection of vascular bifurcations is a challenging task in multimodal retinal image
registration. Existing algorithms based on bifurcations usually fail in correctly aligning poor …

Motivated by the problem of retinal image registration, this paper introduces and analyzes a
new registration algorithm called Dual-Bootstrap Iterative Closest Point (Dual-Bootstrap …

This work studies retinal image registration in the context of the National Institutes of Health
(NIH) Early Treatment Diabetic Retinopathy Study (ETDRS) standard. The ETDRS imaging …

Motivated by the need for multimodal image registration in ophthalmology, this paper
introduces an algorithm which is tailored to jointly align in a common reference space all the …

Recently, the commercial aviation community has experienced a significant increase in
demand for air transportation. Despite the advent of new air traffic control (ATC) …

Existing feature descriptor-based methods on retinal image registration are mainly based on
scale-invariant feature transform (SIFT) or partial intensity invariant feature descriptor …

While retina recognition is recognized as a highly accurate and difficult to forge biometric, it
has not seen widespread acceptance. In addition to user acceptance of what is at times …

We propose an automatic segmentation and registration method that provides more efficient
and robust matching of lung nodules in sequential chest computed tomography (CT) …

Biometric authentication comes in play to release the users from the difficulties of
remembering and protecting passwords as required by traditional authentication systems …

The temporal registration of retinal images provides an important groundwork for doctors to
monitor the progression of diseases. Retinal image registration is challenging because the …