Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

Stereo vision, resulting in the knowledge of deep information in a scene, is of great
importance in the field of machine vision, robotics and image analysis. In this article, an …

Extraction of three-dimensional scene from the stereo images is the most effective research
area in the field of computer vision. Stereo vision constructs the actual three-dimensional …

Stereo vision, resulting in the knowledge of deep information in a scene, is of great
importance in the field of machine vision, robotics and image analysis. As a result, in order to …

Successful path planning and object manipulation in service robotics applications rely both
on a good estimation of the robot's position and orientation (pose) in the environment, as …

Cette thèse se situe dans le cadre de la vision par ordinateur et concerne plus précisément
l'étape de mise en correspondance de pixels en stéréovision binoculaire. Cette étape …

La visión por computador es una rama de la inteligencia artificial que desarrolla tanto la
teoría como la tecnología necesarias para emular la percepción visual humana. Su principal …

We propose in this paper a new method for real-time dense disparity map computing using a
stereo pair of rectified images. Based on the neural network and Disparity Space Image …

Several strategies to retrieve depth information from a sequence of images have been
described so far. In this paper a method that turns around the existing symbiosis between …

In this paper, we present a new approach for dense stereo matching which is mainly
oriented towards the recovery of depth map of an observed scene. The extraction of depth …