With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …

With the advent of convolutional neural networks, stereo matching algorithms have recently
gained tremendous progress. However, it remains a great challenge to accurately extract …

Despite the remarkable progress made by learning based stereo matching algorithms, one
key challenge remains unsolved. Current state-of-the-art stereo models are mostly based on …

Finding local features that are repeatable across multiple views is a cornerstone of sparse
3D reconstruction. The classical image matching paradigm detects keypoints per-image …

We present a structured lighting system for creating high-resolution stereo datasets of static
indoor scenes with highly accurate ground-truth disparities. The system includes novel …

Light-field cameras have recently become available to the consumer market. An array of
micro-lenses captures enough information that one can refocus images after acquisition, as …

Urban search and rescue missions raise special requirements on robotic systems. Small
aerial systems provide essential support to human task forces in situation assessment and …

Stereo matching is one of the most active research areas in computer vision. While a large
number of algorithms for stereo correspondence have been developed, relatively little work …

This paper describes the semiglobal matching (SGM) stereo method. It uses a pixelwise,
mutual information (Ml)-based matching cost for compensating radiometric differences of …