Jul 18, 2016 � Abstract:Our goal is to recognize material categories using images and geometry information. In many applications, such as construction�...
Our goal is to recognize material categories using im- ages and geometry information. In many applications, such as construction management, coarse geometry�...
Our goal is to recognize material categories using images and geometry information. In many applications, such as construction management, coarse geometry�...
Our goal is to recognize material categories using images and geometry information. In many applications, such as construction management, coarse geometry�...
Our goal is to recognize material categories using images and geometry information. In many applications, such as construction management, coarse geometry�...
The results show that using 2D and 3D features both jointly and independently to model materials improves classification accuracy across multiple scales and�...
We want to use image and 3D geometry to recognize materials in real-world scenes. Brick. Concrete. Foliage. Metal. Page 3. GeoMat Dataset: Focus Scale.
In this section, we provide additional samples (image patches and corresponding depth maps) for each category. Specifi- cally, each row of Figs.
Sep 1, 2016 � Geometry-Informed Material Recognition. 285 views � 7 years ago ...more ...
Duration: 3:23
Posted: Sep 1, 2016
Duration: 3:23
Posted: Sep 1, 2016
Oct 14, 2024 � This encourages design space exploration and supports downstream tasks, while allowing to incorporate even sparse data samples, if available.