Plant Leaf Position Estimation with Computer Vision

Computer vision cracks the leaf code.

Understanding the extremely variable, complex shape and venation characters of angiosperm leaves is one of the most challenging problems in botany. Machine learning offers opportunities to analyze large numbers of specimens, to discover novel leaf features of angiosperm clades that may have phylogenetic significance, and to use those characters to classify unknowns. Previous computer vision app...

Early-season Vineyard Shoot and Leaf Estimation Using Computer Vision Techniques

This paper describes computer vision techniques for early-season measurement of vine canopy parameters; leaf count, leaf area and shoot count. Accurate and highresolution estimation of these key vineyard performance components are important for effective precision management. We use a high-resolution stereo camera with strobe lighting mounted on a ground-vehicle that captures high-quality proxi...

Computer assisted instruction during quarantine and computer vision syndrome

Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the pr...

Robust Parameter Estimation in Computer Vision

Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the same data set. Increasingly, robust estimation techniques, some borrowed from the statistics literature and others described in the computer vision literature, ...

Hierarchical curvature estimation in computer vision