La vision stéréoscopique, également appelée stéréopsie, est une vision perception mechanism that allows individuals to perceive depth and three-dimensional (3D) structures by integrating two slightly different images from each eye. This phenomenon occurs because human eyes are spaced apart, causing each eye to view an object from a different angle. The brain processes these two images and combines them to create a single, cohesive view, enabling depth perception.
La distance entre les yeux, généralement d'environ 6,5 centimètres (2,5 pouces) chez l'adulte, joue un rôle crucial dans la vision stéréoscopique. Le cerveau utilise la disparité entre les images (les différences de position d’un objet vues par chaque œil) pour estimer la distance. Ce processus est connu sous le nom de disparité binoculaire. Plus la disparité est grande, plus l’objet semble proche, tandis qu’une disparité minimale suggère que l’objet est plus éloigné.
Stereo vision is essential for various daily activities, such as driving, playing sports, and navigating through environments. It enhances our ability to judge distances accurately and interact with the world around us. In the domaine de l'intelligence artificielle and computer vision, stereo vision is a significant area of research, focusing on how machines can replicate this human capability. Techniques such as stereo matching and l’estimation de profondeur are employed to allow computers to interpret spatial information from two-dimensional images similarly to human vision.
In addition to its application in robotics and AI, stereo vision technology is also used in various industries, including virtual reality (VR), réalité augmentée (AR), and 3D movie production, where creating a convincing sense of depth is crucial for immersive experiences.