Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mikaela Angelina Uy"'
Autor:
Noam Aigerman, Mikaela Angelina Uy, Leonidas J. Guibas, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung
Publikováno v:
CVPR
We propose a novel technique for producing high-quality 3D models that match a given target object image or scan. Our method is based on retrieving an existing shape from a database of 3D models and then deforming its parts to match the target shape.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c80bc07f5a9f328303606ad551cd9997
https://doi.org/10.1109/cvpr46437.2021.01154
https://doi.org/10.1109/cvpr46437.2021.01154
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585709
ECCV (7)
ECCV (7)
We introduce a new problem of retrieving 3D models that are deformable to a given query shape and present a novel deep deformation-aware embedding to solve this retrieval task. 3D model retrieval is a fundamental operation for recovering a clean and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db5404413126821d47907f0af25b570
https://doi.org/10.1007/978-3-030-58571-6_24
https://doi.org/10.1007/978-3-030-58571-6_24
Autor:
Sai-Kit Yeung, Mikaela Angelina Uy, Gemma Roig, Binh-Son Hua, Quang-Hieu Pham, Duc Thanh Nguyen
Publikováno v:
AAAI
In this work, we present a novel method to learn a local cross-domain descriptor for 2D image and 3D point cloud matching. Our proposed method is a dual auto-encoder neural network that maps 2D and 3D input into a shared latent space representation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79cf1cda63d1524aedde20f2ed7f7bf
Publikováno v:
ICCV
Deep learning techniques for point cloud data have demonstrated great potentials in solving classical problems in 3D computer vision such as 3D object classification and segmentation. Several recent 3D object classification methods have reported stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58fa228a66cfce44e7ad3b8f68ce588f
Autor:
Gim Hee Lee, Mikaela Angelina Uy
Publikováno v:
CVPR
Unlike its image based counterpart, point cloud based retrieval for place recognition has remained as an unexplored and unsolved problem. This is largely due to the difficulty in extracting local feature descriptors from a point cloud that can subseq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::377b62099fdc01bd0847da58b6ce3dd7