MVJs
MVJs, or **Multi-View Joint Segmentation**, refers to a computer vision technique designed to improve segmentation accuracy by leveraging multiple views of an object or scene. Segmentation is the process of partitioning an image into distinct regions or classes, such as identifying objects, textures, or boundaries. Traditional segmentation methods often rely on a single 2D image, which can lead to ambiguities and inaccuracies, particularly in complex or occluded scenes.
MVJs addresses these limitations by integrating information from multiple perspectives, such as stereo images, depth maps,
The process typically involves capturing data from multiple sensors or cameras, followed by alignment and fusion
Challenges in MVJs include computational complexity, the need for synchronized multi-view capture, and handling variations in