Many focus measure (FM) operators have been proposedĪnd tested in the literature. The case of active techniques such as optical triangulation, LIDARĪn important step in the application of SFF is the computation of theįocus level for every scene point in every image frame of the focusing Moreover, the hardwareĬomplexity is low, with no special equipment being required, as in Typical of stereo or vergence are avoided. In addition, since a single camera is used, correspondence problems Physical interaction between the capturing device and the scene. The main interest of SFF is that, as a passive method, there is no Sequence is usually referred to as focus sequence or focus sweep. That requires a sequence of images from a scene captured byĬhanging the focus configuration of the imaging device. Shape-from-focus (SFF) is a passive technique for depth recovery Order to develop and improve both active and passive techniquesįor depth recovery and 3D shape reconstruction. All rights reserved.Ī great effort has been devoted in the field o f image processing in
Experiments with both synthetic and real scenes are presented.
Not perform correctly in order to discard them. The proposed R-measure is then applied for determining the image regions where SFF will The proposed reliability measure (the R-measure) analyzes the shape of the focus measure function andĮstimates the likelihood of obtaining an accurate depth estimation without any previous knowledge of the This paper proposes a reliability measure aimed at assessing the quality of the depth-map obtained using Providing quality measures in order to predict the performance of SFF without prior knowledge of the recovered Less attention has been paid to the problem of SFF has focused on improving the accuracy of the depth estimation. Main drawbacks is its poor performance when the change in the focus level is difficult to detect.
Technique is attractive since it only requires a single monocular camera with focus control, thus avoiding correspondence problems typically found in stereo, as well as more expensive capturing devices. Shape-from-focus (SFF) is a passive technique widely used in image processing for obtaining depth-maps. Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Universitat Rovira i Virgili, Spainĭepartment of Electronic and Communications Technology, Autonomous University of Madrid, Spain Said Pertuz a,⁎, Domenec Puig a, Miguel Angel Garcia b Journal homepage: Reliability measure for shape-from-focus☆ Image and Vision Computing 31 (2013) 725–734Ĭontents lists available at ScienceDirect
0 kommentar(er)
