Digital coordinate transformation refers to the computational operation of remapping spatial or spatiotemporal coordinates into new coordinates. In the provided context, this is described through Ryu Furusawa’s work Passing, where video frames are stacked along the time axis to form a virtual three-dimensional volume. Instead of extracting a slice from this volume in the usual linear way, the work allows the slicing angle to be freely rotated. As a result, the time referenced within a frame shifts, and a perspective space that converges toward a vanishing point gradually transforms into a parallel-projection-like space.
In this context, the transformation is not merely a visual distortion effect. It is better understood as a resampling process: changing the coordinates from which pixels or slices are read. The passages also frame this as a simulation, through digital processing, of a shift from linear perspective to axonometric projection. Furusawa’s Python library “imgtrans” is described as a toolkit for cutting arbitrary slices from such a video volume, making the coordinate transformation operational as a method for exploring spatiotemporal structure.