In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …

Background Due to their high protein content, nuts (almond, walnut, and pistachio) are
among the main substitutes for meat, with a growing share of the food basket in the United …

In this paper we present ADOP, a novel point-based, differentiable neural rendering
pipeline. Like other neural renderers, our system takes as input calibrated camera images …

There has recently been great interest in neural rendering methods. Some approaches use
3D geometry reconstructed with Multi‐View Stereo (MVS) but cannot recover from the errors …

This paper describes a novel method to derive 3D hyperspectral information from lightweight
snapshot cameras for unmanned aerial vehicles for vegetation monitoring. Snapshot …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Quantitative analysis of bioimaging data is often skewed by both shading in space and
background variation in time. We introduce BaSiC, an image correction method based on …

This paper concerns the problem of fully automated panoramic image stitching. Though the
1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more difficult …

We present a dataset for evaluating the tracking accuracy of monocular visual odometry and
SLAM methods. It contains 50 real-world sequences comprising more than 100 minutes of …

Miniaturized thermal infrared (TIR) cameras that measure surface temperature are
increasingly available for use with unmanned aerial vehicles (UAVs). However, deriving …