Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

Monocular depth estimation aims at estimating a pixelwise depth map for a single image,
which has wide applications in scene understanding and autonomous driving. Existing …

Matching cost aggregation is one of the oldest and still popular methods for stereo
correspondence. While effective and efficient, cost aggregation methods typically aggregate …

Accurate and timely detection of plant diseases can help mitigate the worldwide losses
experienced by the horticulture and agriculture industries each year. Thermal imaging …

Inferring the depth of transparent or mirror (ToM) surfaces represents a hard challenge for
either sensors, algorithms, or deep networks. We propose a simple pipeline for learning to …

Camera-based 3D reconstruction of physical objects is one of the most popular computer
vision trends in recent years. Many systems have been built to model different real-world …

This paper proposes a novel framework integrating the principles of active stereo in
standard passive camera systems without a physical pattern projector. We virtually project a …

Leveraging the disparity information from both left and right views is crucial for stereo
disparity estimation. Left-right consistency check is an effective way to enhance the disparity …

Structured light sensors are popular due to their robustness to untextured scenes and
multipath. These systems triangulate depth by solving a correspondence problem between …