The parallax effect in computer vision refers to the apparent shift of an object’s position relative to its background when observed from different viewpoints. This phenomenon is commonly used to estimate depth or distance in 3D vision systems. By capturing images of a scene from two or more viewpoints (e.g., stereo cameras), the disparity between corresponding points in the images can be calculated. This disparity is inversely proportional to the object’s distance from the camera. The parallax effect is widely applied in technologies such as stereo vision, augmented reality, and SLAM (Simultaneous Localization and Mapping). It enables systems to reconstruct 3D environments, perform object tracking, and enhance spatial awareness in applications like autonomous vehicles and robotics.
What is the parallax effect in the computer vision?
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