This paper presents a novel approach for simultaneous silhouette extrac-tion from multi-viewpoint images. The main contribution of this paper is a new algorithm for 1) 3D context aware error detection and correction of 2D multi-viewpoint silhouette extraction and 2) 3D context aware classication of cast shadow regions. Our method takes both monocular image segmentation and background subtraction of each viewpoint as its inputs, but does not as-sume they are correct. Inaccurate segmentation and background subtraction are corrected through our iterative method based on inter-viewpoint checking. Some experiments quantitatively demonstrate advantages against previous ap-proaches. 1
Abstract—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction...
Shadows in images are essential but sometimes unwanted as they can decline the result of computer vi...
Silhouette based reconstruction algorithm is simple and robust for 3D volume estimation of an object...
This paper presents a novel approach for silhouette extraction from multi-viewpoint images. The main...
International audienceIn this paper, we present a method for extracting consistent foreground region...
Traditional shape from silhouette methods compute the 3D shape as the intersection of the back-proje...
Obtaining a foreground silhouette across multiple views is one of the fundamental steps in 3D recons...
International audienceWe present a new method to extract multiple segmentations of an object viewed ...
International audienceThis paper deals with the 3D shape estimation from silhouette cues of multiple...
In multi-camera systems for human detection and analysis, Shape-from-Silhouette (SfS) is a common ap...
International audienceIn this paper, we investigate a practical framework to compute a 3D shape esti...
In this paper we presents a silhouette-based method for 3D human body reconstruction from multiple v...
Comunicació presentada al congrés IEEE International Conference on Image Processing (ICIP) celebrat ...
We present a multi-view intrinsic decomposition algorithm that allows relighting of an outdoor scene...
Silhouettes are perceptually and geometrically salient features of geometric models. Hence a number ...
Abstract—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction...
Shadows in images are essential but sometimes unwanted as they can decline the result of computer vi...
Silhouette based reconstruction algorithm is simple and robust for 3D volume estimation of an object...
This paper presents a novel approach for silhouette extraction from multi-viewpoint images. The main...
International audienceIn this paper, we present a method for extracting consistent foreground region...
Traditional shape from silhouette methods compute the 3D shape as the intersection of the back-proje...
Obtaining a foreground silhouette across multiple views is one of the fundamental steps in 3D recons...
International audienceWe present a new method to extract multiple segmentations of an object viewed ...
International audienceThis paper deals with the 3D shape estimation from silhouette cues of multiple...
In multi-camera systems for human detection and analysis, Shape-from-Silhouette (SfS) is a common ap...
International audienceIn this paper, we investigate a practical framework to compute a 3D shape esti...
In this paper we presents a silhouette-based method for 3D human body reconstruction from multiple v...
Comunicació presentada al congrés IEEE International Conference on Image Processing (ICIP) celebrat ...
We present a multi-view intrinsic decomposition algorithm that allows relighting of an outdoor scene...
Silhouettes are perceptually and geometrically salient features of geometric models. Hence a number ...
Abstract—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction...
Shadows in images are essential but sometimes unwanted as they can decline the result of computer vi...
Silhouette based reconstruction algorithm is simple and robust for 3D volume estimation of an object...