|
|
Angel Sappa and M.A. Garcia. 2007. Coarse-to-Fine Approximation of Range Images with Bounded Error Adaptive Triangular Meshes.
|
|
|
|
Angel Sappa and Boris Vintimilla. 2007. Cost-Based Closed Contour Representations.
|
|
|
|
Angel Sappa and M.A. Garcia. 2007. Incremental Integration of Multiresolution Range Images.
|
|
|
|
Fadi Dornaika and Angel Sappa. 2007. Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo 3D Models. PRL, 28(15), 2116–2126.
|
|
|
|
Jaume Amores, N. Sebe and Petia Radeva. 2007. Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms.
|
|
|
|
Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat and Antonio Lopez. 2008. Rank Estimation in 3D Multibody Motion Segmentation. Electronic Letters, 44(4), 279–280.
Abstract: A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data.
|
|
|
|
Yu Jie, Jaume Amores, N. Sebe, Petia Radeva and Tian Qi. 2008. Distance Learning for Similarity Estimation.
|
|
|
|
Fadi Dornaika and Angel Sappa. 2008. Evaluation of an Appearance-based 3D Face Tracker using Dense 3D Data.
|
|
|
|
Hugo Berti, Angel Sappa and Osvaldo Agamennoni. 2008. Improved Dynamic Window Approach by Using Lyapunov Stability Criteria.
|
|
|
|
Fadi Dornaika and Angel Sappa. 2009. Instantaneous 3D motion from image derivatives using the Least Trimmed Square Regression. PRL, 30(5), 535–543.
Abstract: This paper presents a new technique to the instantaneous 3D motion estimation. The main contributions are as follows. First, we show that the 3D camera or scene velocity can be retrieved from image derivatives only assuming that the scene contains a dominant plane. Second, we propose a new robust algorithm that simultaneously provides the Least Trimmed Square solution and the percentage of inliers-the non-contaminated data. Experiments on both synthetic and real image sequences demonstrated the effectiveness of the developed method. Those experiments show that the new robust approach can outperform classical robust schemes.
|
|
