Digital Signal Processing Reference
In-Depth Information
Fig. 6
Processing steps for disparity estimation using rank transform, semi-global matching, and
optional median filter. Numbers in parenthesis refer to the respective equations and R denotes the
number of paths
minima. The summed path costs
S
(thick black line) clearly identify the
minimum at a disparity level of 32 resolving all ambiguities. However, the cost
difference for the positions 32 and 33 is minimal indicating that the correct position
is located a sub-pel precision.
a median filter in its most basic form. An overview of the processing steps is given
(
p
,
d
)
3
Architectures
The variety of architectures and implementations to compute the stereo correspon-
dence easily rivals the variety of the underlying stereo matching algorithms. Today
very efficient implementations for local and global stereo methods are available on
FPGAs, ASICs, GPUs, and DSPs. For real-time image throughput, local methods
have been and continue to be favored by many researches because of their efficient
implementation possibilities. However, with advances in computational power,
many global methods are also implementable in real-time.
Early work includes a complete stereo vision system from 1996 featuring
rectification and stereo matching with an SSD variant on a custom hardware board
200
images with 5 bit depth resolution could be computed. Other noteworthy early
provided. An FPGA array was used in 1997 to implement a census transform
disparity information from the matching costs without cost aggregation. Early work
includes a complete stereo vision system from 1996 featuring rectification and
stereo matching with an SSD variant on a custom hardware board consisting of
×
×
200 images with