A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating octree models of 3D objects from their silhouettes in a sequence of images
Computer Vision, Graphics, and Image Processing
Implicit fairing of irregular meshes using diffusion and curvature flow
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dense Stereo Correspondence Using Polychromatic Block Matching
CAIP '93 Proceedings of the 5th International Conference on Computer Analysis of Images and Patterns
Shape-from-Silhouette/Stereo and Its Application to 3-D Digitizer
DCGI '99 Proceedings of the 8th International Conference on Discrete Geometry for Computer Imagery
Reliability and Judging Fatigue Reduction in 3D Perceptual Quality Estimation
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Automatic 3D modeling of textured cultural heritage objects
IEEE Transactions on Image Processing
A volumetric fusion technique for surface reconstruction from silhouettes and range data
Computer Vision and Image Understanding
3D reconstruction and video-based rendering of casually captured videos
Proceedings of the 2010 international conference on Video Processing and Computational Video
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A wide-spread use of 3D models in cultural heritage application requires low cost equipment and simple modeling procedures. In this context, passive 3D reconstruction methods allow to build 3D models from a set of calibrated cameras, without the need of expensive machinery. Unfortunately the surfaces characteristics often lead to bad quality reconstructions. Recent efforts attempt to combine together information from different passive methods in order to improve the overall quality of the result. The combination of stereo matching and silhouette information has recently received considerable attention. Typically the major contribution to the appearance of the model comes from texture, rather than from geometry. The straightforward application of the photographs over the model can lead to artifacts, due to errors in 3D reconstructions, which must be minimized. This work, building on recent results, proposes a variation of an algorithm for 3D geometry recovery from stereo and silhouette information within a classical deformable model framework, which improves the quality of the shape. In order to avoid visible texture artifacts, it also proposes a new algorithm for texture synthesis based on wavelet decomposition. Experimental verification shows the effectiveness of the proposed solution with respect to robustness, computational speed and quality of the final result.