A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Performance of optical flow techniques
International Journal of Computer Vision
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration of 3-D partial surface models using luminance and depth information
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Surface registration by matching oriented points
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Registration of Range Images that Preserves Local Surface Structures and Color
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
3D Registration by Textured Spin-Images
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Projective Surface Matching of Colored 3D Scans
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
A Robust Algorithm for Point Set Registration Using Mixture of Gaussians
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A review of recent range image registration methods with accuracy evaluation
Image and Vision Computing
Transforming Least Squares to Weighted Least Squares for Accurate Range Image Registration
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Log-polar height maps for multiple range image registration
Computer Vision and Image Understanding
Automatic Range Image Registration in the Markov Chain
IEEE Transactions on Pattern Analysis and Machine Intelligence
A high-accuracy method for fine registration of overlapping point clouds
Image and Vision Computing
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and robust registration of 3D surfaces using low curvature patches
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
| Hi-index | 0.00 |
We propose a robust method for registering overlapping range images of a Lambertian object under a rough estimate of illumination. Because reflectance properties are invariant to changes in illumination, the albedo is promising to range image registration of Lambertian objects lacking in discriminative geometric features under variable illumination. We use adaptive regions in our method to model the local distribution of albedo, which enables us to stably extract the reliable attributes of each point against illumination estimates. We use a level-set method to grow robust and adaptive regions to define these attributes. A similarity metric between two attributes is also defined to match points in the overlapping area. Moreover, remaining mismatches are efficiently removed using the rigidity constraint of surfaces. Our experiments using synthetic and real data demonstrate the robustness and effectiveness of our proposed method.