In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, ...

Lighter images represent pre-2020 models with limited data and images to use(sub-one million parameters); darker images post-2020 represent models using over a million parameters with the darkest ...

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 ...

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 ...

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 ...