ÐIn the absence of cues for absolute depth measurements as binocular disparity, motion, or defocus, the absolute distance between the observer and a scene cannot be measured. The interpretation of shading, edges, and junctions may provide a 3D model of the scene but it will not provide information about the actual ªscaleº of the space. One possible source of information for absolute depth estim...

Depth estimation provides essential information to perform autonomous driving and driver assistance. Especially, Monocular Depth Estimation is interesting from a practical point of view, since using a single camera is cheaper than many other options and avoids the need for continuous calibration strategies as required by stereo-vision approaches. State-of-theart methods for Monocular Depth Esti...

Estimating the pose of an object, be it articulated, deformable or rigid, is an important task, with applications ranging from HumanComputer Interaction to environmental understanding. The idea of a general pose estimation framework, capable of being rapidly retrained to suit a variety of tasks, is appealing. In this paper a solution is proposed requiring only a set of labelled training images ...

We investigate how an autonomous humanoid robot with an initially inaccurate binocular vision system can learn to correct inconsistencies in its understanding of distance using information and resources that might be available to a human infant. We defined a consistent depth estimator as a Euclidean distance metric where the unit of measurement is determined autonomously. We found that an error...

In this paper, we propose an efficient algorithm to reconstruct the 3D structure of a human face from one or more of its 2D images with different poses. In our algorithm, the nonlinear least-squares model is first employed to estimate the depth values of facial feature points and the pose of the 2D face image concerned by means of the similarity transform. Furthermore, different optimization sc...

Introduction When looking out of the side window of a moving car, the distant scenery seems to move slowly while the lamp posts flash by at a high speed. This effect is called parallax, and it can be exploited to extract geometrical information from a scene. From multiple captures of the same scene from different viewpoints, it is possible to estimate the distance of the objects, i.e. the depth...

h theoretical framework on 3D facial movement -timation for model-based i t n a p coding 1s presented IU this paper. 3D farinl movement tim mar ion la a r l i f ic~~l t prols [em to ~olve because both facld motion parameters and depth plrrametere are rpquirpd to egtlmate simultaneously. W h e n the conventional appraaches m ueed l o handle r h ~ s pmMem, ~ n ~ t i a l estimates of thc dcpth par...

Fast depth estimation from binocular vision is often desired for autonomous vehicles, but, most algorithms could not easily be put into practice because of the much time cost. We present an image-processing technique that can fast estimate depth image from binocular vision images. By finding out the lines which present the best matched area in the disparity space image, the depth can be estimat...

This work is focused on assigning a depth label to each pixel in the image. We consider off-the-shelf algorithms that provide depth information from multiple views or depth information directly obtained from RGB-d sensors. Both of them are common scenarios of a well studied problem where many times we get incomplete depth information. Then, user interaction becomes necessary to finish, improve ...

In this paper, we propose to integrate sparse 3D depth information into pedestrian detection task, in order to achieve a fast boost in performance. Our proposed method uses a probabilistic way to integrate image-feature-based detection and sparse depth estimation together. The depth information is used as a cue, and provides additional discriminative ability for the detection. There are two con...