We address the problem of qualitative shape recovery from moving surfaces. Our analysis is unique in that we consider specular interreflections and explore the effects of both motion parallax and changes in shading. To study this situation we define an image flow field called the reflection flow field, which describes the motion of reflection points and the motion of the surface. From a kinematic analysis, we show that the reflection flow is qualitatively different from the motion parallax because it is discontinuous at or near parabolic curves. We also show that when the gradient of the reflected image is strong, gradientbased flow measurement techniques approximate the reflection flow field and not the motion parallax. We conclude from th...
In this paper we show that the optical flow, a 2D field that can be associated with the variation ...
In this paper we study the problem of recovering the 3D shape, reflectance, and non-rigid motion pro...
Dynamic visual information facilitates three-dimensional shape recognition. It is still unclear, how...
When a curved mirror-like surface moves relative to its environment, it induces a motion field—or sp...
In scenes containing specular objects, the image motion observed by a moving camera may be an interm...
When a curved mirror-like surface moves relative to its environment, it induces a motion field—or sp...
In this report, we consider the challenging problem of recovering a specular shape from the continuo...
If a moving camera observes a specular surface that reflects some distant environment, the recorded ...
AbstractIn dynamic scenes, relative motion between the object, the observer, and/or the environment ...
In dynamic scenes, relative motion between the object, the observer, and/or the environment projects...
A new idea for the analysis of shape from reflectance maps is introduced in this paper. It is shown ...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 2001. Simultaneously published ...
Inferring scene geometry from a sequence of camera images is one of the central problems in computer...
Inferring scene geometry from a sequence of camera images is one of the central problems in computer...
Retinal image motion and optical flow as its approximation are fundamental concepts in the field of ...
In this paper we show that the optical flow, a 2D field that can be associated with the variation ...
In this paper we study the problem of recovering the 3D shape, reflectance, and non-rigid motion pro...
Dynamic visual information facilitates three-dimensional shape recognition. It is still unclear, how...
When a curved mirror-like surface moves relative to its environment, it induces a motion field—or sp...
In scenes containing specular objects, the image motion observed by a moving camera may be an interm...
When a curved mirror-like surface moves relative to its environment, it induces a motion field—or sp...
In this report, we consider the challenging problem of recovering a specular shape from the continuo...
If a moving camera observes a specular surface that reflects some distant environment, the recorded ...
AbstractIn dynamic scenes, relative motion between the object, the observer, and/or the environment ...
In dynamic scenes, relative motion between the object, the observer, and/or the environment projects...
A new idea for the analysis of shape from reflectance maps is introduced in this paper. It is shown ...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 2001. Simultaneously published ...
Inferring scene geometry from a sequence of camera images is one of the central problems in computer...
Inferring scene geometry from a sequence of camera images is one of the central problems in computer...
Retinal image motion and optical flow as its approximation are fundamental concepts in the field of ...
In this paper we show that the optical flow, a 2D field that can be associated with the variation ...
In this paper we study the problem of recovering the 3D shape, reflectance, and non-rigid motion pro...
Dynamic visual information facilitates three-dimensional shape recognition. It is still unclear, how...