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.

Helicopter virtual image display system incorporating structural outlines

Abstract: A virtual image display system provides video displays based upon virtual images of the external world having synchronized structural outlines superimposed on the video displays to a pilot operating an aircraft such as a helicopter in non-visual flight conditions. The virtual image display system includes a virtual imaging subsystem for generating virtual images of the external world, a video display subsystem for generating video images based upon the virtual images and for displaying the video images for the pilot's viewing, a sensing means for providing signals corresponding to the spatial location and perspective of the video display subsystem, a map comprising structural outlines corresponding to structural members forming the canopy structure of the helicopter, and a computer subsystem providing electronic interfacing between the elements of the virtual image display system, for synchronizing the orientation of the virtual imaging subsystem with the video display subsystem, and for processing the virtual image signals to provide signals to the video display subsystem to generate video displays. The computer utilizes the helmet position signals to define the relative position and orientation of the video display subsystem in the cockpit, and utilizes such definition to reconstruct structural outlines from the map that are synchronized to the perspective of the video images. The synchronized structural images are superimposed upon the video display.

Trajectory path planner for a vision guidance system

Abstract: An automatic vision guidance system for an agricultural vehicle is disclosed and described. The vision guidance system uses a K-means clustering algorithm in image processing to distinguish between crop and non-crop features. The vision guidance system utilizes moment algorithms to determine the location and orientation of crop rows, from which desired wheel angles are determined and steering is commanded. The vision guidance system may adjust the location and orientation of visually determined crop rows according to a predetermined distance between crop rows. Further, the vision guidance system may utilize a redundant number of regions of interest in determining crop row locations and orientations.

Local Shape from Mirror Reflections

Abstract: We study the problem of recovering the 3D shape of an unknown smooth specular surface from a single image. The surface reflects a calibrated pattern onto the image plane of a calibrated camera. The pattern is such that points are available in the image where position, orientations, and local scale may be measured (e.g. checkerboard). We first explore the differential relationship between the local geometry of the surface around the point of reflection and the local geometry in the image.We then study the inverse problem and give necessary and sufficient conditions for recovering surface position and shape.We prove that surface position and shape up to third order can be derived as a function of local position, orientation and local scale measurements in the image when two orientations are available at the same point (e.g. a corner). Information equivalent to scale and orientation measurements can be also extracted from the reflection of a planar scene patch of arbitrary geometry, provided that the reflections of (at least) 3 distinctive points may be identified.We validate our theoretical results with both numerical simulations and experiments with real surfaces.

Pattern recognition process

Abstract: A process for analyzing a two-dimensional image, wherein the structural identity of stored reference patterns with image contents or portions is determined, irrespective of the position of said image content or portion in the image to be analyzed. The image is subjected to a two-dimensional Fourier transformation operation and the separated amplitude distribution or power distribution is compared to amplitude or power distributions in respect of the reference patterns in the Fourier range, while determining the respective probability of identity, the twist angle and the enlargement factor as between the reference pattern and the image content or portion. Storage and processing of the image and the reference patterns or the Fourier transforms thereof are effected in digital form. In order to locate an image content or portion in the original image, which is identical with a reference pattern, the respective reference pattern or the Fourier transform thereof is assimilated to said image content or portion, in respect of size and orientation, by inverse rotary extension, with the ascertained twist angle and enlargement factor, and finally the position or positions at which the reference pattern when converted in that way has maximum identity with a section of the image is established.

Deep Fitting Degree Scoring Network for Monocular 3D Object Detection.

Abstract: In this paper, we propose to learn a deep fitting degree scoring network for monocular 3D object detection, which aims to score fitting degree between proposals and object conclusively. Different from most existing monocular frameworks which use tight constraint to get 3D location, our approach achieves high-precision localization through measuring the visual fitting degree between the projected 3D proposals and the object. We first regress the dimension and orientation of the object using an anchor-based method so that a suitable 3D proposal can be constructed. We propose FQNet, which can infer the 3D IoU between the 3D proposals and the object solely based on 2D cues. Therefore, during the detection process, we sample a large number of candidates in the 3D space and project these 3D bounding boxes on 2D image individually. The best candidate can be picked out by simply exploring the spatial overlap between proposals and the object, in the form of the output 3D IoU score of FQNet. Experiments on the KITTI dataset demonstrate the effectiveness of our framework.