Introduction: Visual odometry (VO) has been widely deployed on mobile robots for spatial perception. State-of-the-art VO offers robust localization, the maps it generates are often too sparse for ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...

Welcome to the first part of our Blender tutorial series for absolute beginners! In this episode, we'll cover the essential basics you need to get started with Blender. From navigating the interface ...

Apple's Machine Learning Research wing has developed a foundational AI model "for zero-shot metric monocular depth estimation." Depth Pro enables high-speed generation of detailed 3D depth maps from a ...

Monocular Depth Estimation, which involves estimating depth from a single image, holds tremendous potential. It can add a third dimension to any image—regardless of when or how it was captured—without ...

Traditional depth estimation methods often require metadata, such as camera intrinsics, or involve additional processing steps that limit their applicability in real-world scenarios. These limitations ...

Hyundai Motor. has filed a patent for a method and apparatus to generate depth maps using volumetric features. The technology involves encoding base images from surround-view cameras, creating single ...

The world of design and manufacturing is witnessing a significant shift with the introduction of artificial intelligence (AI) into the realm of 3D laser engraving. The ability to create a wide range ...

For export to Unreal Engine it is recommended to set scene Unit Scale at 0.01 and therefore to scale your objects and environments. In the case of cameras it will also be necessary to scale the Depth ...