Towards Man-Machine Interfaces: Combining Top-down Constraints with Bottom-up Learning in Facial Analysis
This thesis proposes a methodology for the design of man-machine interfaces by combining top-down and bottom-up processes in vision. From a computational perspective, we propose that the scientific-cognitive question of combining top-down and bottom-up knowledge is similar to the engineering que...
Main Author: | Kumar, Vinay P. |
---|---|
Language: | en_US |
Published: |
2004
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/5569 |
Similar Items
-
Facial Expression Aftereffect Revealed by Adaption to Emotion-Invisible Dynamic Bubbled Faces
by: Luo, Chengwen, et al.
Published: (2016) -
A joint learning method with consistency-aware for low-resolution facial expression recognition
by: Xie, Yuanlun, et al.
Published: (2024) -
Facial motion prior networks for facial expression recognition
by: Chen, Yuedong, et al.
Published: (2020) -
Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis
by: Kumar, Vinay P. (Vinay Prasanna), 1972-
Published: (2005) -
Side profile facial recognition using CNN
by: Varthamanan Manisha
Published: (2024)