Results 201 to 210 of about 474,599 (267)
A Guide to Structureless Visual Localization. [PDF]
Int J Comput VisPanek V +6 more
europepmc +1 more source
3D Geometry-Aware Efficient Feature Matching for Weakly Textured Scenes. [PDF]
J ImagingSun L, Yan Y, Yang W, Qin W.
europepmc +1 more source
Deconstruction and reconstruction of degrading effects in ultrasound imaging: aberration, multiple reverberation, and trailing reverberation. [PDF]
Biomed Phys Eng ExpressSoulioti DE +4 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Image Composition with Depth Registration
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023Handling occlusions is still a challenging problem for image composition. It always requires the source contents to be completely in front of the target contents or needs manual interventions to adjust occlusions, which is very tedious. Though several methods have suggested exploiting priors or learning techniques for promoting occlusion determination,
Zan Li, Wencheng Wang, Fei Hou
openaire +1 more source
69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007, 2007
ABSTRACTHigh resolution imaging is of great value to an interpreter, for instance to enable identification of small scale faults, and to locate formation pinch‐out positions. Standard approaches to obtain high‐resolution information, such as coherency analysis and structure‐oriented filters, derive attributes from stacked, migrated images.
T.J. Moser, C.B. Howard
openaire +1 more source
ABSTRACTHigh resolution imaging is of great value to an interpreter, for instance to enable identification of small scale faults, and to locate formation pinch‐out positions. Standard approaches to obtain high‐resolution information, such as coherency analysis and structure‐oriented filters, derive attributes from stacked, migrated images.
T.J. Moser, C.B. Howard
openaire +1 more source
Compression of the layered depth image
Proceedings DCC 2001. Data Compression Conference, 2002A layered depth image (LDI) is a new popular representation and rendering method for objects with complex geometries. Similar to a two-dimensional (2-D) image, the LDI consists of an array of pixels. However, unlike the 2-D image, an LDI pixel has depth information, and there are multiple layers at a pixel location.
Jiangang Duan, Jin Li
openaire +2 more sources
Image Outpainting with Depth Assistance
2021In some scenarios such as autonomous diriving, we can get a sparse point cloud with a large field of view, but an RGB image with a limited FoV. This paper studies the problem of image expansion using depth information converted from sparse point cloud projection. General image expansion tasks only use images as input for expansion.
Lei Zhang 0116 +4 more
openaire +1 more source
Depth annotations: Designing depth of a single image for depth-based effects
Computers & Graphics, 2018We present a novel pipeline to generate a depth map from a single image that can be used as input for a variety of artistic depth-based effects. In such a context, the depth maps do not have to be perfect but are rather designed with respect to a desired result.
Liao, J. (author) +2 more
openaire +3 more sources
Probing depth in monocular images
Biological Cybernetics, 1987It is generally expected that depth (distance) is the internal representational primitive that corresponds to much of the perception of 3D. We tested this assumption in monocular surface stimuli that are devoid of distance information (due to orthographic projection and the chosen surface shape, with perspective projection used as a control) and yet ...
K A, Stevens, A, Brookes
openaire +2 more sources