… a way that unique combinations of an object and the place where it was … of objects, locations
“ out there” in space (termed “places” in this paper), and particular combinations of objects …

… object space to describe general objects using a feedforward deep neural network trained
on object … set of objects revealed that single IT cells project incoming objects onto specific …

… space. … image interpretation problems to object space leads to a unified approach where all
… defined as the ground (object) space analogue to "pixel" in image space. We then proceed to …

… horizontal line R in object space, and projecting this perpendicular into image space (line C).
… In object space, the distance between x and e is equal to the distance between x and n; we …

… hardware, called object space EWA splatting. We derive an object space formulation of the
EWA … We describe how to implement the object space EWA filter using a two pass rendering …

… Euclidean space of regions (eg networks and fluids), and objects … Bush Pump present a
fluid object which is able to exist and … of network space in order to give voice to the fluid objects …

… object as a space lending itself to the creation of objects. Here the line itself becomes a
space… , that either/or in which the object has traditionally been entrapped, expands into the …

… We are left with the fronts of objects within the field of view. The hidden surface removal …
solutions in image space and object space, respectively: By calculations in object space, we …

Two modified DLT algorithms are presented that improve the accuracy of three-dimensional
object space reconstruction by almost an order of magnitude when compared with …

… object of any class. We explicitly train it to distinguish objects with a well-defined boundary in
space… several image cues measuring characteristics of objects, such as appearing different …