Digital Image Registration Using Projections
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
IEEE Transactions on Pattern Analysis and Machine Intelligence
The computation of optical flow
ACM Computing Surveys (CSUR)
Registration and Integration of Multiple Object Views for 3D Model Construction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accuracy vs efficiency trade-offs in optical flow algorithms
Computer Vision and Image Understanding
Proceedings of the 2001 conference on Virtual reality, archeology, and cultural heritage
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affine/ Photometric Invariants for Planar Intensity Patterns
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Bridging the Gap Between Simulation and Reality in Urban Search and Rescue
RoboCup 2006: Robot Soccer World Cup X
Variational optical flow computation in real time
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Domain decomposition for variational optical-flow computation
IEEE Transactions on Image Processing
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Photo maps, i.e., 2D grids that provide a large scale bird’s eye view of the environment, are of interest for many application scenarios but especially for safety and security missions. We present a very efficient and robust algorithm for this task, which only uses registration between consecutive images, i.e., it does not require any localization. The algorithm is benchmarked in USARsim, where the video stream of a down-looking camera of an aerial vehicle, namely a blimb, is used to generate a large scale photo map.