Omnidirectional images and videos are widespread due to the popularization of devices for
capturing and visualization. Unlike pinhole-based imagery, omnidirectional media lie on the …

ABSTRACT 3D reconstruction plays an increasingly important role in modern
photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) …

In this paper, we formulate a potentially valuable panoramic depth completion (PDC) task as
panoramic 3D cameras often produce 360∘ depth with missing data in complex scenes. Its …

Standard MSE or MAE loss function is commonly used in limited field-of-vision depth
completion, treating each pixel equally under a basic assumption that all pixels have same …

Traditionally, spherical keypoint matching has been performed using greedy algorithms,
such as Nearest Neighbors (NN) search. NN based algorithms often lead to erroneous or …

We propose a new system for automatic 2D floorplan reconstruction that is enabled by
SALVe, our novel pairwise learned alignment verifier. The inputs to our system are sparsely …

For a monocular 360° image, depth estimation is a challenging because the distortion
increases along the latitude. To perceive the distortion, existing methods devote to …

We present a cross-domain inference technique that learns from synthetic data to estimate
depth and normals for in-the-wild omnidirectional 3D scenes encountered in real-world …

Seeing only a tiny part of the whole is not knowing the full circumstance. Bird's-eye-view
(BEV) perception, a process of obtaining allocentric maps from egocentric views, is restricted …

No existing spherical convolutional neural network (CNN) framework is both computationally
scalable and rotationally equivariant. Continuous approaches capture rotational …