This talk addresses the problem of automatically acquiring
three-dimensional object and scene models from multiple pictures, a
process known as 3D photography. I will introduce a relative of
Chasles' absolute conic, the absolute quadratic complex, and discuss
its applications to the calibration of cameras with rectangular or
square pixels without the use of calibration charts. I will also
present a novel algorithm that uses the geometric and photometric
constraints associated with multiple calibrated photographs to
construct high-quality solid models of complex 3D objects in the form
of carved visual hulls. If time permits, I will also briefly discuss
our most recent results on category-level object recognition.
Joint work with Yasutaka Furukawa, Svetlana Lazebnik, Kenton McHenry,
Theo Papadopoulo, Cordelia Schmid, Monique Teillaud and Bill Triggs.