The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we proposed a novel method for three-dimensional motion estimation by combining straight-line and endpoint optical flow. Firstly, the relationship equations of point and straight-line optical flow with the three-dimensional motion velocities are given under the perspective projection model. Then the three-dimensional motion estimation model based on the correspondence of point and straight-line...
This paper presents a Belief Propagation (BP) stereo matching algorithm based on ground control points (GCP) and spatiotemporal consistency. In the context the BP algorithm based on spatiotemporal consistency has large amount of calculation with low matching accuracy, the proposed algorithm adds GCP into the spatiotemporal consistency BP algorithm model to propagate the disparities of GCP. This algorithm...
In this paper an efficient crop row detection method is proposed for vision-based navigation for agriculture robots. In the proposed method, no low level features (such as edges and middle lines of the images) are needed. So the complex algorithms for edging and matching (e.g. the Hough transform) are avoided, which greatly saves the computation loads. Instead, a flexible quadrangle is defined to...
With the increasing needs from a variety of real world applications like context retrieval and aid reading, scene text recognition is attracting more and more attention from the computer vision community. Scene text character (STC) recognition plays an important role in this task. However, recognition of STC is a challenging task due to a series of problems, like different illumination conditions,...
In this paper, we propose LinedCut: a novel method for interactive image segmentation which requires only a single line drawing to identify the object of interest in the image. The handy interaction mode can address the problem of object scale very well. Our approach consists of the following three steps: first, a given image is over-segmented into superpixels using superpixel algorithm; secondly,...
Color image segmentation is an important topic in the image processing field. In most segmentation methods based on MRF-MAP, the segmentation quality is far behind requirement due to the absence of appearance models, and it is often suffering from the low computational efficiency of iterated calculations. To address these problems, the paper proposes a new segmentation method for color images based...
With the advancement of motion capture technology, 3D skeleton data is easier to be obtained. 3D skeleton data has the advantage over traditional video data for the reason that it is less affected by illumination, complex background, self-occlusion and noise. 3D skeleton data brings new opportunities and challenges to the action recognition research. In this paper, we propose a new method for action...
This paper presents an efficient feature detection algorithm based on the classical SURF (Speeded Up Robust Feature) detector. The image features are represented and scored with respect to its local symmetry property. The local symmetry has natural properties of scale and transformation invariants, and also insensitive to illumination change and local noise. By the proposed feature descriptor, the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.