notion

adr 2 - assignment 9: motion v.3

the three versions play with different blending techniques within the composite, vaguely hard, intermediate & soft… i think that i am the most fond of the first because it lends an ambiguity to the drawing & the relative softness of its lines

adr assingment 8: considering motion as a fixed point
I took a segment of video & captured from it 52 frames & modfified the contrast of each of those frames in photoshop. I took the high contrast images from photoshop into illustrator where I ran a contrast analysis on each of the frames using a custom Live Trace profile. Live Trace generated vectors for each of the areas that I had calibrated the frames for in photoshop, I took these vectors into rhino to interpolate 3 intermediate vector sets between each of the original 52 frames to enhance the resolution of the image. Each interpolation is progressively faded, since they are increasingly guesses & more representative of the governing algorhythm than the original frame. I then compiled all 208 images in illustrator, organizing them around the object that tracked through the frame in the video so that the object is stationary & the field/frame moves around it. The consequence of this is that the sensation of motion in the video, which is from left-to-right/bottom-to-top, is reversed in the image as right-to-left/top-to-bottom (the difference between watching a car pass & sitting in the car watching the world pass). The other consequence is that objects of each frame that exist only within the x-y plane are “extruded” along a suggested third z-axis not of depth but of time - so the volumes in the image are not volumetric via their depth but via delta x-y per increment of time relative to a point treated as fixed in both space & represented time. I preserved the frame boundary (the obnoxious square) as a notation of relative position governed by the camera frame.I ended up with this method from a vague consideration of general relativity that has baffled me: that is that time is relative & has no innate metric except in as much as it is the meter by which change is incremental. If change happens more rapidly or slowly, time (only ever as the perception of change) is either fast or slow. So time is the catalogue or memory of perception as it is displaced; anything that happens over time, i.e. traveling from ‘a’ to ‘b’ is “volumetric” (fluid adaption of a three-dimensional presence over a period of time) only in our capacity to recall & interpolate the “data points” that were generated between then & now…

adr assingment 8: considering motion as a fixed point

I took a segment of video & captured from it 52 frames & modfified the contrast of each of those frames in photoshop. I took the high contrast images from photoshop into illustrator where I ran a contrast analysis on each of the frames using a custom Live Trace profile. Live Trace generated vectors for each of the areas that I had calibrated the frames for in photoshop, I took these vectors into rhino to interpolate 3 intermediate vector sets between each of the original 52 frames to enhance the resolution of the image. Each interpolation is progressively faded, since they are increasingly guesses & more representative of the governing algorhythm than the original frame. I then compiled all 208 images in illustrator, organizing them around the object that tracked through the frame in the video so that the object is stationary & the field/frame moves around it. The consequence of this is that the sensation of motion in the video, which is from left-to-right/bottom-to-top, is reversed in the image as right-to-left/top-to-bottom (the difference between watching a car pass & sitting in the car watching the world pass). The other consequence is that objects of each frame that exist only within the x-y plane are “extruded” along a suggested third z-axis not of depth but of time - so the volumes in the image are not volumetric via their depth but via delta x-y per increment of time relative to a point treated as fixed in both space & represented time. I preserved the frame boundary (the obnoxious square) as a notation of relative position governed by the camera frame.

I ended up with this method from a vague consideration of general relativity that has baffled me: that is that time is relative & has no innate metric except in as much as it is the meter by which change is incremental. If change happens more rapidly or slowly, time (only ever as the perception of change) is either fast or slow. So time is the catalogue or memory of perception as it is displaced; anything that happens over time, i.e. traveling from ‘a’ to ‘b’ is “volumetric” (fluid adaption of a three-dimensional presence over a period of time) only in our capacity to recall & interpolate the “data points” that were generated between then & now…

ADR Assignment 7