Learning environmental features for pose estimation

Image and Vision Computing

Volumn 19, Issue 11, 2001, Pages 733-739

  Sim, R ^a   Dudek, G ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Environmental features; Landmark detection; Pose estimation

Indexed keywords

COMPUTER VISION; ENCODING (SYMBOLS); IMAGE SEGMENTATION; OPTIMIZATION; PATTERN MATCHING; SENSOR DATA FUSION;

POSE ESTIMATION;

LEARNING SYSTEMS;

EID: 0035448949     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(00)00109-8     Document Type: Article

References (14)

1. Automated image-based mapping
2. Vision-based robot localization without explicit object models
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5. View-based and modular eigenspaces for face recognition
6. Networks for approximation and learning
7. Mobile robot localization from learned landmarks
8. Learning visual landmarks for pose estimation
9. On the representation and estimation of spatial undertainty
10. Some location problems for robot navigation using a single camera
11. Inexact navigation
12. Finding landmarks for mobile robot navigation
13. Face processing: Models for recognition
14. Convergence rates of 'thin plate' smoothing splines when the data are noisy