Bounding Box
Bounding Box, also known as bounding volume or bounding area, is a rectangular box used to describe the location and range of an object in an image.It is defined by the coordinates of the upper left and lower right corners of the rectangular box, which can be used to mark and locate the target object. In the object detection task, the model achieves object detection and positioning by predicting the bounding box of the target object. The purpose of the bounding box is to define the position and size of the object in 2D or 3D space and to facilitate the manipulation and analysis of the object.
Bounding boxes in 2D images are usually represented by rectangles with long sides parallel to the image's x- and y-axes. The minimum and maximum values of the x- and y-axes (specified by the coordinates of the rectangle's corners) determine the size of the rectangle. The size and center point of the rectangle can also be used to create an enclosing box.
The bounding box in a 3D image is usually represented by a parallelepiped (3D rectangle) whose sides are parallel to the image's x, y, and z axes. The coordinates of the corners of the parallelepiped represent the minimum and maximum values of the x, y, and z axes, determining its dimensions. The size and center of the parallelepiped can also be used to determine the bounding box.
Bounding Boxes in Computer Vision
Many applications, such as computer vision, image processing, and robotics, use bounding boxes. Bounding boxes are used in computer vision to identify and classify items in images and videos. For example, bounding boxes can be used to identify people in a picture or classify objects in a picture (such as cars, chairs, etc.).
Bounding boxes are used in image processing to crop, resize, and rotate objects in a picture. For example, a bounding box can be used to rotate or crop a picture of a structure or a face.
Bounding boxes have several advantages over other methods of defining objects in digital images.:
- They are easy to implement and understand;
- Computationally efficient, since they only require the coordinates of the corners or center points and the size of the bounding box;
- Strong and durable as they can handle objects of different shapes and sizes.