Monocular depth estimation reconstructs three-dimensional scene geometry from a single two-dimensional image, addressing the intrinsic ambiguity of inferring spatial structure from limited visual cues ...
The proposed method takes as input the focal stack and camera settings, and establishes a cost volume based on a lens defocus model. This design enables depth estimation with different camera settings ...
Self-supervised monocular depth estimation has emerged as a transformative approach in computer vision, enabling accurate distance prediction from single images without the need for ground truth depth ...
The first row is the reference image, and the second and third rows are warped images from adjacent images using ground truth depth and pose. Understanding the 3D structure of scenes is an essential ...
Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...
Vision is a powerful human sensory input. It enables complex tasks and processes we take for granted. With an increase in AoT™ (Autonomy of Things) in diverse applications ranging from transportation ...
One of the first commercial capture systems built to give humanoid robots the 3D signals they use at inference: depth, ...
SAN FRANCISCO--(BUSINESS WIRE)--RealSense, a pioneer in AI-powered computer vision, today announced its successful spinout from Intel Corporation and the close of a $50 million Series A funding round.
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