Understanding and controlling the self-assembly of vertically oriented carbon nanotube
(CNT) forests is essential for realizing their potential in myriad applications. The governing …

Image matching between the optical and synthetic aperture radar (SAR) is one of the most
fundamental problems for earth observation. In recent years, many researchers have used …

Accurate segmentation and tracking of cells in microscopy image sequences is extremely
beneficial in clinical diagnostic applications and biomedical research. A continuing …

Ubiquitous low cost multi-rotor and fixed wing drones or unmanned aerial vehicles (UAVs)
have accelerated the need for reliable, robust, and scalable Structure-from-Motion (SfM) and …

Feature matching for multimodal images is an important task in image processing. However,
most methods perform image feature detection, description, and matching sequentially …

Cell tracking and motility analysis are essential for understanding multicellular processes,
automated quantification in biomedical experiments, and medical diagnosis and treatment …

Patchwise methods have been widely used in hyperspectral image (HSI) classification. In
HSI classification methods that use only spectral information, a large number of unlabeled …

Abstract Structure from motion (SfM) is used to recover camera poses and the sparse
structure of real scenes from multiview images. SfM methods construct a view‐graph from …

Multi-modal systems extract information about the environment using specialized sensors
that are optimized based on the wavelength of the phenomenology and material …

Prediction tasks over pixels in hyperspectral images (HSI) require careful effort to engineer
the features used for learning a classifier. However, the generated classification map may …