Estimating Anthropometry and Pose from a Single Uncalibrated Image

A New Method for Estimating Body Height from Uncalibrated Images

We address the problem of estimating a person’s body height from a single uncalibrated image. The novelty of our work lies in that we handle two difficult cases not previously addressed in the literature: (i) the image contains no reference length in the background scene, (ii) the image contains the upper body only. In a nutshell, our method combines well-known ideas from projective geometry an...

Estimating Human Dynamics On-the-fly Using Monocular Video For Pose Estimation

Human pose estimation using uncalibrated monocular visual inputs alone is a challenging problem for both the computer vision and robotics communities. From the robotics perspective, the challenge here is one of pose estimation of a multiply-articulated system of bodies using a single nonspecialized environmental sensor (the camera) and thereby, creating low-order surrogate computational models ...

Statistical Estimation of Human Anthropometry from a Single Uncalibrated Image

Estimating Anthropometry and Pose from a Single Image

In this paper, we present a four-step technique for simultaneously estimating a human's anthropometric measurements (up to a scale parameter) and pose from a single image. The user initially selects a set of image points that constitute the projection of selected landmarks. Using this information, along with a priori statistical information about the human body, a set of plausible segment lengt...

Estimating 3D Body Pose using Uncalibrated Cameras

An approach for estimating 3D body pose from multiple, uncalibrated views is proposed. First, a mapping from image features to 2D body joint locations is computed using a statistical framework that yields a set of several body pose hypotheses. The concept of a “virtual camera” is introduced that makes this mapping invariant to translation, image-plane rotation, and scaling of the input. As a co...