Shape from inconsistent silhouette
Computer Vision and Image Understanding
Temporal segmentation of 3-D video by histogram-based feature vectors
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic Cone Beam Reconstruction Using a New Level Set Formulation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Tracking in a Dense Crowd Using Multiple Cameras
International Journal of Computer Vision
Shape from silhouette using Dempster-Shafer theory
Pattern Recognition
Real-time free viewpoint from multiple moving cameras
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Unstructured video-based rendering: interactive exploration of casually captured videos
ACM SIGGRAPH 2010 papers
Shape from incomplete silhouettes based on the reprojection error
Image and Vision Computing
Multi-view Occlusion Reasoning for Probabilistic Silhouette-Based Dynamic Scene Reconstruction
International Journal of Computer Vision
From silhouettes to 3D points to mesh: towards free viewpoint video
Proceedings of the 1st international workshop on 3D video processing
Unsupervised learning of background modeling parameters in multicamera systems
Computer Vision and Image Understanding
Modeling dynamic scenes recorded with freely moving cameras
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Joint Multi-Layer Segmentation and Reconstruction for Free-Viewpoint Video Applications
International Journal of Computer Vision
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision
A multiview approach to tracking people in crowded scenes using a planar homography constraint
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
An accelerated human motion tracking system based on voxel reconstruction under complex environments
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
3D reconstruction and video-based rendering of casually captured videos
Proceedings of the 2010 international conference on Video Processing and Computational Video
Shape from Silhouette Consensus
Pattern Recognition
An octree-based method for shape from inconsistent silhouettes
Pattern Recognition
3D-live: live interactions through 3D visual environments
Proceedings of the 2012 Virtual Reality International Conference
Monocular object detection using 3d geometric primitives
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
N-tuple color segmentation for multi-view silhouette extraction
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Low-complexity scalable distributed multicamera tracking of humans
ACM Transactions on Sensor Networks (TOSN)
Bayesian 3D shape from silhouettes
Digital Signal Processing
Hi-index | 0.00 |
In this paper, we investigate what can be inferred from several silhouette probability maps, in multi-camera environments. To this aim, we propose a new framework for multi-view silhouette cue fusion. This framework uses a space occupancy grid as a probabilistic 3D representation of scene contents. Such a representation is of great interest for various computer vision applications in perception, or localization for instance. Our main contribution is to introduce the occupancy grid concept, popular in the robotics community, for multi-camera environments. The idea is to consider each camera pixel as a statistical occupancy sensor. All pixel observations are then used jointly to infer where, and how likely, matter is present in the scene. As our results illustrate, this simple model has various advantages. Most sources of uncertainty are explicitly modeled, and no premature decisions about pixel labeling occur, thus preserving pixel knowledge. Consequently, optimal scene object localization, and robust volume reconstruction, can be achieved, with no constraint on camera placement and object visibility. In addition, this representation allows to improve silhouette extraction in images.