We present a unifying framework to solve several computer vision problems with event cameras: motion, depth and optical flow estimation. The main idea of our framework is to find the point trajectories on the image plane that are best aligned with the event data by maximizing an objective function: the contrast of an image of warped events. Our method implicitly handles data association between...

Three-dimensional (3D) objects reconstruction using just bidimensional (2D) images has been a major research topic in Computer Vision. However, it is still a hard problem to address, when automation, speed and precision are required and/or the objects have complex shapes or image properties. In this paper, we compare two Active Computer Vision methods frequently used for the 3D reconstruction o...

Motion estimation of objects in image sequences is an essential computer vision task. To this end, optical flow methods compute pixel-level motion, with the purpose of providing low-level input to higher-level algorithms and applications. Robust flow estimation is crucial for the success of applications, which in turn depends on the quality of the captured image data. This work explores the use...

h many computer vision applications it is necessary to compute the direction of heading of a moving camera from the images it produces. Traditionally, this computation has been baaed on the optical flow, that is, on the motion of point features in the field of view. We show that the differential changes in the angles between the projection rays of pairs of point features are a better input for ...

To respond actively to a dynamic environment, a vision system must process perceptual data in real time, and in multiple modalities. The structure of the computational load varies across the levels of vision, requiring multiple architectures. We describe the Vision Engine, a system with a pipelined early vision architecture, Datacube image processors, connected to a MIMD intermediate vision sys...

Active vision brings important advantages for physically embodied artificial agents interacting with their environment. Gaze control is one of the important issues in active vision. In this paper, we address one subproblem of gaze control, namely, gaze stabilization, which appears when visually tracking a moving object is required. One approach to tackle this is by solving a motion estimation p...

In [1] Murray et al. describe a motion processing system, ISOR, which is able to recover the 3D motion and structure of polyhedral objects from an image sequence and goes on, where possible, to recognize the object as one from a database of object models. The system performs a 'bottomup' pass through a vision processing hierarchy in the four stages: (i) Low level Compute visual motion at intens...

background: the aim of this work was to study the feasibility of constructing a fast thorax model suitable for simulating lung motion due to respiration using only one ct dataset. materials and methods: for each of six patients with different thorax sizes, two sets of ct images were obtained in single-breath-hold inhale and exhale stages in the supine position. the ct images were then analyzed ...

Retinal image motion and optical ow as its approximation are fundamental concepts in the eld of vision, perceptual and computational. However, the computation of optical ow remains a challenging problem as image motion includes discontinuities and multiple values mostly due to scene geometry , surface translucency and various photometric eeects such as reeectance. In this contribution, we analy...