Inferring Motion of Cylindrical Object From Shape Information

نویسندگان

  • Minoru Asada
  • Saburo Tsuji
چکیده

This paper explores methods for Inferring motion of a cylindrical object from an image sequence. A local shading analysis method segments each Image Into spherical, cylindrical, and planar 'surfaces. The cylindrical surface Is characterized with a direction of generating lines determined from spatial derivatives In the image. An extended reflectance map method Is applicable to estimate gradients of base In consecutive frames If the lighting conditions are known. Another approach to Inferring of motion Is to use shape Information which needs an additional constraint. If two planes of the object are hot parallel, then the finding of correspondence between frames Is easy. For the case of parallel planes, we introduce an additional assumption that the planes are orthogonal to the generating lines. This strong constraint) Is not sufficient for determining the surface normals from single view. The orthogonality also gives another constraint between a change In area of the base plane and that In length of generatling fine from the first to the second frames. Thus Iwe can estimate orientations of the bcise plane from two Views, Finally, motion parameters are estimated by correlating two shapes of the base boundary mapped from the two views.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Useful Family of Stochastic Processes for Modeling Shape Diffusions

 One of the new area of research emerging in the field of statistics is the shape analysis. Shape is defined as all the geometrical information of an object whose location, scale and orientation is not of interest. Diffusion in shape analysis can be studied via either perturbation of the key coordinates identifying the initial object or random evolution of the shape itself. Reviewing the f...

متن کامل

Processing shape, motion and three-dimensional shape-from-motion in the human cortex.

Shape and motion are complementary visual features and each appears to be processed in unique cortical areas. However, object motion is a powerful cue for the perception of three-dimensional (3-D) shape, implying that the two types of information--motion and form--are well integrated. We conducted a series of fMRI experiments aimed at identifying the brain regions involved in inferring 3-D shap...

متن کامل

Shape Recovery from Passive Locally Dense Tactile Data

As a robotic hand grasps an object of unknown shape, the object may slip in the robot’s fingers. If the robot can infer the local shape as the object slips, the robot may be able to readjust its hand and fingers so as to better grasp the object. This paper considers the problem of inferring local contact geometry from passive tactile information. The term “passive” means that the information re...

متن کامل

Design and Modeling of a New Type of Tactile Sensor Based on the Deformation of an Elastic Membrane

This paper presents the design and modeling of a flexible tactile sensor, capable of detecting the 2D surface texture image, contact-force estimation and stiffness of the sensed object. The sensor is made of polymer materials. It consists of a cylindrical chamber for pneumatic actuation and a membrane with a mesa structure. The inner radius of the cylindrical chamber is 2cm and its outer radius...

متن کامل

The influence of object size and surface shape on shape constancy from stereo.

The failure of shape constancy from stereoscopic information is widely reported in the literature. In this study we investigate how shape constancy is influenced by the size of the object and by the shape of the object's surface. Participants performed a shape-judgment task on objects of five sizes with three different surface shapes. The shapes used were: a frontoparallel rectangle, a triangul...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1983