Learning Three-Dimensional Shape Models for Sketch Recognition
Artifacts made by humans, such as items of furniture and houses, exhibit an enormous amount of variability in shape. In this paper, we concentrate on models of the shapes of objects that are made up of fixed collections of sub-parts whose dimensions and spatial arrangement exhibit variation. Our g...
Main Authors: | Kaelbling, Leslie P., Lozano-Pérez, Tomás |
---|---|
Format: | Article |
Language: | English |
Published: |
2004
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/7424 |
Similar Items
-
Early Sketch Processing with Application in HMM Based Sketch Recognition
by: Sezgin, Tevfik Metin, et al.
Published: (2005) -
Exploiting an Intermediate Latent Space between Photo and Sketch for Face Photo-Sketch Recognition
by: Seho Bae, et al.
Published: (2022-09-01) -
A Joint Training Model for Face Sketch Synthesis
by: Weiguo Wan, et al.
Published: (2019-04-01) -
Four‐branch Siamese network based on sketch‐specific data augmentation for sketch recognition
by: Xiuying Wang, et al.
Published: (2023-02-01) -
Hand-drawn face sketch recognition using rank-level fusion of image quality assessment metrics
by: Sami Mahfoud, et al.
Published: (2022-12-01)