Depth estimation from spherical imagery seeks to reconstruct three-dimensional structure across a full 360° field of view. Conventional perspective techniques must be adapted to account for the radial ...
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 ...
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 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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
Northwestern engineers have unveiled an energy-efficient camera called SpiderCam that estimates depth in the same way that ...
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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More It’s no secret that AI is everywhere, yet it’s not always clear when ...
CVPR 2026 opened Friday in Denver with a record 16,092 submissions and 4,089 accepted papers — a 42% jump — as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results