Topic
Orientation (computer vision)
About: Orientation (computer vision) is a research topic. Over the lifetime, 17196 publications have been published within this topic receiving 358181 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, a theory for the interpretation of 3D textures with oriented elements is proposed for the reconstruction of textured planes, which builds on two previous theories: a statistical one due to Witkin, and Kanatani's "Buffon" transform.
119 citations
••
TL;DR: By allowing the subtraction of highlights from color images and the compensation for surface orientation, spectral reflectance modeling can help to understand 3-D scenes.
Abstract: A system for simultaneously measuring the 3-D shape and color properties of objects is described. Range data are obtained by triangulation over large volumes of the scene, whereas color components are separated by means of a white laser. Details are given concerning the modeling and the calibration of the system for bidirectional reflectance-distribution functions measurements. A reflection model is used to interpret the data collected with the system in terms of the underlying physical properties of the target. These properties are the diffuse reflectance of the body material, the Fresnel reflectance of the air media interface, and the slope surface roughness of the interface. Experimental results are presented for the extraction of these parameters. By allowing the subtraction of highlights from color images and the compensation for surface orientation, spectral reflectance modeling can help to understand 3-D scenes. A practical example is given where a color and range image is processed to yield uniform regions according to material pigmentation. >
119 citations
•
14 May 2003TL;DR: In this article, a system for automatically adapting image acquisition parameters based on imaging and/or device tracking feedback is presented, which includes an image processor for processing the images and a device tracking logic for computing device parameters (e.g., speed, direction of travel, rate of speed change, position, position relative to a landmark, device orientation).
Abstract: A system for automatically adapting image acquisition parameters based on imaging and/or device tracking feedback is provided. An example system includes a subsystem for acquiring images (e.g., MR) of an object and tracking data for a device (e.g. catheter) inserted into the object and controllably moveable within the object. The system also includes an image processor for processing the images and a device tracking logic for computing device parameters (e.g., speed, direction of travel, rate of speed change, position, position relative to a landmark, device orientation). Based on the images and device parameter computations, a parameter control and adjustment logic can automatically update one or more image acquisition parameters that control the image acquisition subsystem.
119 citations
•
31 May 2002TL;DR: In this paper, a method, apparatus, and article of manufacture altering a displayed image presented to a user on a viewing device using a user-controlled orientation of the viewing device to determine how the displayed image is to be presented.
Abstract: A method, apparatus, and article of manufacture altering a displayed image presented to a user on a viewing device using a user-controlled orientation of the viewing device to determine how the displayed image is to be presented. The viewing device includes a plurality of tilt sensors that are used to determine the orientation of the viewing device. As the user moves the orientation of the viewing device, the tilt sensors detect the change in the device orientation. These changes in orientation are used to alter the image being displayed upon the viewing device.
119 citations
••
TL;DR: An algorithm to register apical and parasternal echocardiographic datasets that uses a new similarity measure, based on local orientation and phase differences, to guide registration, so that the effect of artifacts intrinsic to ultrasound images is minimized.
Abstract: Real-time 3-D echocardiography opens up the possibility of interactive, fast 3-D analysis of cardiac anatomy and function. However, at the present time its quantitative power cannot be fully exploited due to the limited quality of the images. In this paper, we present an algorithm to register apical and parasternal echocardiographic datasets that uses a new similarity measure, based on local orientation and phase differences. By using phase and orientation to guide registration, the effect of artifacts intrinsic to ultrasound images is minimized. The presented method is fully automatic except for initialization. The accuracy of the method was validated qualitatively, resulting in 85% of the cardiac segments estimated having a registration error smaller than 2 mm, and no segments with an error larger than 5 mm. Robustness with respect to landmark initialization was validated quantitatively, with average errors smaller than 0.2 mm and 0.5o for initialization landmarks rotations of up to 15o and translations of up to 10 mm.
119 citations