Planar surfaces detection on depth map using patch based approach
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This paper proposes an unsupervised technique for detecting planar surfaces on single depth map image. The proposed method can detect planar surfaces by adopting dynamic seed growing technique without using texture information. So aided with this mechanism to control the growing process, each seed patch can grow to its maximum extent and then the next seed patch begins to grow. This process avoids over-segmentation of the whole scene. Moreover, it allows detecting semi-planer surfaces. Compared with one popular planar surface detection algorithms, i.e., RANdom SAmples Consensus(RANSAC), the accuracy of the proposed method is superior on typical indoor scenes. The proposed method can have huge technical potential for image/video segmentation and coding, enhancing the depth information of time-of-flight cameras, and finally it could be used for navigation system for humanoid robotics.
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Jin Z; Tillo T; Cheng F (IEEE, 2014)Planar surface is a common feature in man-made structure, thus accurate detection of planar surface can benefit the image/video segmentation and reconstruction and also the navigation system of robots. Since depth map ...
Tilo T; Jin Z; Cheng F (SPRINGER, 2015)Depth map, with per-pixel depth values, represents the relative distance between object in the scene and the capturing depth camera. Hence, it has been widely used in 3D applications and Depth Image-Based Rendering (DIBR) ...
Jin Z; Tillo T; Zou W; Zhao Y; Li X (Institute of Electrical and Electronics Engineers Inc., 2017)The emerging of depth-camera technology is paving the way for a variety of new applications and it is believed that plane detection is one of them. In fact, planes are common in man-made living structures, thus their ...