Stereovision-Based Object Segmentation for Automotive Applications

Stereovision-Based Object Segmentation for Automotive Applications

Obstacle detection and classification in a complex urban area are highly demanding, but desirable for pedestrian protection, stop & go, and enhanced parking aids. The most difficult task for the system is to segment objects from varied and complicated background. In this paper, a novel position-based object segmentationmethod has been proposed to solve this problem. According to the method prop...

Connexity based fronto-parallel plane detection for stereovision obstacle segmentation

Progress in hardware makes it possible to compute dense disparity maps in real-time. This work describes a suitable obstacle segmentation method for these dense disparity maps. The method analyses the connexity of the disparity map in order to extract fronto-parallel planes by means of a suitable depth constraint. This pragmatic geometrical approach reduces the number of detection parameters. A...

A Rule-based System for Region Segmentation Improvement in Stereovision

Still Image Segmentation Tools For Object-Based Multimedia Applications

In this paper, a color image segmentation algorithm and an approach to large-format image segmentation are presented, both focused on breaking down images to semantic objects for object-based multimedia applications. The proposed color image segmentation algorithm performs the segmentation in the combined intensity– texture–position feature space in order to produce connected regions that corre...

Segmentation Assisted Object Distinction for Direct Volume Rendering

Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...