CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision
نویسندگان
چکیده
منابع مشابه
3D shape and texture morphing using 2D projection and reconstruction
We present an algorithm for morphing shape and view-dependent texture that utilizes an unstructured lumigraph representation to (1) gracefully handle topological changes, (2) create plausible appearance transformations, and (3) provide user control independent from the underlying mesh structure. It works by reducing the otherwise complex problem of a 3D shape and material morph into multiple si...
متن کاملLearning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Conventional methods of 3D object generative modeling learn volumetric predictions using deep networks with 3D convolutional operations, which are direct analogies to classical 2D ones. However, these methods are computationally wasteful in attempt to predict 3D shapes, where information is rich only on the surfaces. In this paper, we propose a novel 3D generative modeling framework to efficien...
متن کاملBayesian Point Cloud Reconstruction
In this paper, we propose a novel surface reconstruction technique based on Bayesian statistics: The measurement process as well as prior assumptions on the measured objects are modeled as probability distributions and Bayes’ rule is used to infer a reconstruction of maximum probability. The key idea of this paper is to define both measurements and reconstructions as point clouds and describe a...
متن کاملTarget detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...
متن کاملFrom Point Cloud to 2D and 3D Grids: A Natural Neighbor Interpolation Algorithm using the GPU
With modern LiDAR technology the amount of topographic data, in the form of massive point clouds, has increased dramatically. One of the most fundamental GIS tasks is to construct a grid digital elevation model (DEM) from these point clouds. We present a simple yet very fast natural neighbor interpolation algorithm for constructing a grid DEM from massive point clouds. We use the graphics proce...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33018819