Multi-view Depth Map Estimation Enhancing Temporal Consistency
نویسنده
چکیده
In this paper, we propose a scheme for multiview depth map estimation to enhance temporal consistency. After we divide the center image into several segments, we estimate one depth value for each segment using 3-D warping and segment-based matching techniques. In the refinement process, we apply a segment-based belief propagation algorithm. In order to enhance temporal consistency and reliability of the depth map, we define a temporally weighted matching function and apply in the initial depth estimation step. We also apply a temporal postprocessing operation to the refined depth map. Experimental results show that the final depth sequence has improved temporal consistency with reduced errors.
منابع مشابه
Estimation of temporally consistent depth maps using noise removal from video
We propose a novel approach to problem of temporal consistency. To tackle temporal inconsistency we propose to eliminate its cause. Depth map fluctuations are caused by noise, mainly temporal. We propose to employ noise reduction on video before depth estimation. Each view of a multi-view video sequence, is independently denoised in time and then feed to a depth estimation algorithm (Fig. 1). A...
متن کاملGeneration of Temporally Consistent Depth Maps Using Nosie Removal from Video
This paper presents a novel approach for providing depth maps that are temporally consistent. Temporal consistency is attained by noise removal from video. Presented approach was evaluated with use of a simple noise reduction technique and state-of-the-are depth estimation algorithm. Experiments on standard multi-view test video sequences have been performed and yielded both subjective and obje...
متن کاملTemporally Consistent Depth Map Estimation Using Motion Estimation for 3DTV
In this paper, we propose a new algorithm to estimate temporally consistent depth sequence. Our algorithm first calculates the matching cost using left and right views. In order to enhance the temporal consistency, we modify the matching function by adding the temporal weighting function and we perform the motion estimation technique to refer to the previous depths of moving objects. Experiment...
متن کاملTemporal Consistency Enhancement of Background for Depth Estimation
In this paper, we propose a new scheme to enhance temporal consistency of depth sequences for multi-view depth estimation. When we compute the matching cost for estimating appropriate depth, we add a temporal weighting function to the conventional matching function. Furthermore, since the temporal weighting function only works well for the background, we apply it only to the background. Experim...
متن کاملMulti-view dense depth map estimation
A novel dense depth map estimation algorithm is proposed in order to meet the requirements of N-view plus N-depth representation, which is one of the standardization efforts for the upcoming 3D display technologies. Hence, extraction of multiple depth maps is achieved from multi-view video. Starting from the piecewise planarity assumption of the scene, estimation of 3D structure of the patches,...
متن کامل