A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved seeded region growing algorithm
Pattern Recognition Letters
International Journal of Computer Vision
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Mosaicing on Adaptive Manifolds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Appearance and Topology for Wide Baseline Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Local Features for Image Retrieval
State-of-the-Art in Content-Based Image and Video Retrieval [Dagstuhl Seminar, 5-10 December 1999]
3-D Facets Construction for Stereovision
AI*IA '97 Proceedings of the 5th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Panoramic mosaics by manifold projection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Using geometric corners to build a 2D mosaic from a set of image
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Mosaics of Scenes with Moving Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Direct Method for Visual Scene Reconstruction
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
Applying Super-Resolution to Panoramic Mosaics
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
VideoBrushTM: Experiences with Consumer Video Mosaicing
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
A Robust Image Mosaicing Technique Capable of Creating Integrated Panoramas
IV '99 Proceedings of the 1999 International Conference on Information Visualisation
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Dealing with Dense Rows in the Solution of Sparse Linear Least Squares Problems
Dealing with Dense Rows in the Solution of Sparse Linear Least Squares Problems
Universal Mosaicing Using Pipe Projection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Generating Mosaics with Minimum Distortions
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 11 - Volume 11
Hybrid Image Registration based on Configural Matching of Scale-Invariant Salient Region Features
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 11 - Volume 11
A Mathematical Comparison of Point Detectors
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 11 - Volume 11
An image mosaicing module for wide-area surveillance
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Performance Enhancement of 2D Face Recognition via Mosaicing
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Multi-image matching using invariant features
Multi-image matching using invariant features
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Optimal Global Mosaic Generation from Retinal Images
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Mosaicing the retinal fundus images: a robust registration technique based approach
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
New methods for dynamic mosaicking
IEEE Transactions on Image Processing
Multimedia Tools and Applications
Seamless heterogeneous 3D tessellation via DWT domain smoothing and mosaicking
EURASIP Journal on Advances in Signal Processing
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Mosaicing is connecting two or more images and making a new wide area image with no visible seam-lines. Several algorithms have been proposed to construct mosaics from image sequence where the camera motion is more or less complex. Most of these methods are based either on the interest points matching or on theoretical corner models. This paper describes a fully automated image-mosaicing method based on the regions and the Harris points primitives. Indeed, in order to limit the search window of potential homologous points, for each point of interest, regions segmentation and matching steps are being performed. This enables us to improve the reliability and the robustness of the Harris points matching process by estimating the camera motion. The main originality of the proposed system resides in the preliminary manipulation of regions matching, thus making it possible to estimate the rotation, the translation and the scale factor between two successive images of the input sequence. This estimation allows an initial alignment of the images along with the framing of the interest points search window, and therefore reducing considerably the complexity of the interest points matching algorithm. Then, the resolution of a minimization problem, altogether considering the couples of matched-points, permits us to perform the homography. In order to improve the mosaic continuity around junctions, radiometric corrections are applied. The validity of the herewith described method is illustrated by being tested on several sequences of complex and challenging images captured from real-world indoor and outdoor scenes. These simulations proved the validity of the proposed method against camera motions, illumination variations, acquirement conditions, moving objects and image noise. To determine the importance of the regions matching stage in motion estimation, as well as for the framing of the search window associated to a point of interest, we compared the matching points results of this described method with those produced using the zero-mean normalized cross correlation score (without regions matching). We made this comparison in the case of a simple motion (without the presence of a rotation around optical axis and/or a scale factor), in the case of a rotation and in the general case of an homothety. For justifying the effectiveness of this method, we proposed an objective assessment by defining a reconstruction error.