The sequence of images generated by motion between observer and object specifies a spatiotemporal signature for that object. Evidence is presented that such spatiotemporal signatures are used in object recognition. Subjects learned novel, three-dimensional, rotating objects from image sequences in a continuous recognition task. During learning, the temporal order of images of a given object was constant. During testing, the order of images in each sequence was reversed, relative to its order during learning. This image sequence reversal produced significant reaction time increases and recognition rate decreases. Results are interpreted in terms of object-specific spatiotemporal signatures
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2007....
I will report on recognition experiments with (1) unfamiliar objects, (2) objects embedded in scenes...
This paper describes a real time 3D object recognition approach based on exploiting spatio-temporal ...
AbstractThe sequence of images generated by motion between observer and object specifies a spatiotem...
The relative motion between observers and objects produces structured changes to the retinal input. ...
The current study investigated the long-term representation of spatiotemporal signature (J. V. Stone...
The spatiotemporal pattern projected by a moving object is specific to that object, as it depends on...
Objects and their parts can be visually recognized and localized from purely spatial information in ...
The view based approach to object recognition relies upon the co-activation of 2-D pictorial element...
The view based approach to object recognition relies upon the co-activation of 2-D pictorial element...
The view-based approach to object recognition supposes that objects are stored as a series of associ...
As the orientation or illumination of an object changes so does its appearance. This paper considers...
We describe a new family of algorithms that analyze time-varying scenes, recognizing and tracking le...
It has been suggested that objects are represented as collections of two dimensional images. Althoug...
In late 1988, Miyashita published work reporting recordings of single cells in the inferotemporal co...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2007....
I will report on recognition experiments with (1) unfamiliar objects, (2) objects embedded in scenes...
This paper describes a real time 3D object recognition approach based on exploiting spatio-temporal ...
AbstractThe sequence of images generated by motion between observer and object specifies a spatiotem...
The relative motion between observers and objects produces structured changes to the retinal input. ...
The current study investigated the long-term representation of spatiotemporal signature (J. V. Stone...
The spatiotemporal pattern projected by a moving object is specific to that object, as it depends on...
Objects and their parts can be visually recognized and localized from purely spatial information in ...
The view based approach to object recognition relies upon the co-activation of 2-D pictorial element...
The view based approach to object recognition relies upon the co-activation of 2-D pictorial element...
The view-based approach to object recognition supposes that objects are stored as a series of associ...
As the orientation or illumination of an object changes so does its appearance. This paper considers...
We describe a new family of algorithms that analyze time-varying scenes, recognizing and tracking le...
It has been suggested that objects are represented as collections of two dimensional images. Althoug...
In late 1988, Miyashita published work reporting recordings of single cells in the inferotemporal co...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2007....
I will report on recognition experiments with (1) unfamiliar objects, (2) objects embedded in scenes...
This paper describes a real time 3D object recognition approach based on exploiting spatio-temporal ...