New representations are developed for 2D IP (implicit polynomial) curves of arbitrary degree. These representations permit shape recognition and pose estimation with essentially single, rather than iterative, computation, and extract and use all the information in the polynomial coefficients. This is accomplished by decomposing polynomial coefficient space into a union of orthogonal subspaces f...

A pose of a rigid object has 6 degrees of freedom and its full knowledge is required in many robotic and scene understanding applications. Evaluation of 6D object pose estimates is not straightforward. Object pose may be ambiguous due to object symmetries and occlusions, i.e. there can be multiple object poses that are indistinguishable in the given image and should be therefore treated as equi...

In this paper, we describe a new approach for estimating 3D pose of a human face from a monocular image. We assume that the shape of a face can be approximated by an ellipse and the ratio of the major to minor axis of the ellipse is given. We rst detect a face ellipse and then estimate the face pose. Compared with the existing feature-based approaches for face pose estimation, our approach is m...

Despite recent success on 2D human pose estimation, 3D human pose estimation still remains an open problem. A key challenge is the ill-posed depth ambiguity nature. This paper presents a novel intermediate feature representation named skeleton map for regression. It distills structural context from irrelavant properties of RGB image e.g. illumination and texture. It is simple, clean and can be ...

Recent years have seen a lot of work on local descriptors. In all published comparisons or evaluations, the now quite well-known SIFT-descriptor has been one of the top performers. For the application of object pose estimation, one comparison showed a local descriptor, called the Patch-Duplet, of equal or better performance than SIFT. This paper examines different properties of those two descri...

In this paper, we introduce a framework of human pose estimation from polluted silhouettes due to occlusions or shadows. Since the body pose (and configuration) can be estimated by partial components of the silhouette, a robust statistical method is applied to extract useful information from these components. In this method a Gaussian Process model is used to create each sub-manifold correspond...

This paper presents a fast tracking algorithm capable of estimating the complete pose (6DOF) of an industrial object by using its circular-shape features. Since the algorithm is part of a real-time visual servoing system designed for assembly of automotive parts on-the-fly, the main constraints in the design of the algorithm were: speed and accuracy. That is: close to frame-rate performance, an...

This paper describes a fully automatic system for recovering the rigid components of head pose. It follows the conventional approach of tracking pose changes relative to a reference configuration. Rather than being supplied manually, here the reference configuration is determined by directly estimating pose from the image when the head is close to a frontal presentation. Tracking of pose is don...

This paper presents the development of fuzzy‐ appearance manifold and fuzzy‐nearest distance calculation in the eigenspace domain for pose estimation of degraded face images. In order to obtain a robust pose estimation system which can deal with the fuzziness of face data caused by statistical errors, we proposed the fuzzy‐vector representation in eigenspace domain of the...

Ideally, an algorithm used for either self localization or pose estimation would be both efficient and robust. Many researchers have based their techniques on the absolute orientation research of B. K. P. Horn. As will be shown in this paper, while Horn’s method performs well with an additive Gaussian noise of large variance, mismatches and outliers have a more profound effect. In this paper, t...