Matching and Pose Reenement with Camera Pose Estimates Matching and Pose Reenement with Camera Pose Estimates
نویسندگان
چکیده
This paper describes novel algorithms that use absolute camera pose information to identify correspondence among point features in hundreds or thousands of images. Our incidence counting algorithm is a geometric approach to matching; it matches features by extruding them into an absolute 3-D coordinate system, then searching 3-D space for regions into which many features project. The absolute pose estimates reported by our instrumentation are accurate, but not perfect. Thus, we also consider the problem of re ning these pose estimates, given feature matches from a set of images. We describe a pose re nement algorithm which decouples translation (position) estimates from rotation (attitude) estimates, and can incorporate matches from many hundreds or thousands of images.
منابع مشابه
Matching and Pose Reenement with Camera Pose Estimates
This paper describes novel algorithms that use absolute camera pose information to identify correspondence among point features in hundreds or thousands of images. Our incidence counting algorithm is a geometric approach to matching; it matches features by extruding them into an absolute 3-D coordinate system, then searching 3-D space for regions into which many features project. The absolute p...
متن کاملCamera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images
In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...
متن کاملAdvanced Techniques for Estimating and Re ning Orientation Vectors of Space Object Imagery
We describe three advanced techniques incorporated into the design of a model-based image analysis system which automatically estimates the orientation vector of satellites and their sub-components. The system, implemented in Khoros, operates on images obtained from a ground-based optical surveillance system. Features of each satellite image are rst extracted by partitioning the image and const...
متن کاملPaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification
Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although there has been much progress in person reidentification over the last decade, it remains a challenging task because appearances of people can seem extremely different across diverse camera viewpoints and person poses. In this paper, we propose a novel framework fo...
متن کاملStatistical Object Recognition with the Expectation-maximization Algorithm in Range-derived Features
An extension to the alignment approach is proposed that includes a pose reenement step before veriication. In the alignment approach the pose estimates of the initial hypotheses tend to be somewhat inaccurate, since they are based on minimal sets of corresponding features. A method is described that reenes the pose estimate while simultaneously identifying and incorporating the constraints of a...
متن کامل