It has been quite a while that my VOSM has NOT been updated. My bad for sure. But today, I have it updated, and VOSM-0.3.5 is released. Just refer to the following 3 pages on github:

We’ll still explain a bit on How to use VOSM in the following:

1. Building

1.1 Building Commands

Currently, there are 7 types of models to be built. Namely, there are 7 choices for the parameter “-t”:

SM
TM
AM
IA
FM
SMLTC
SMNDPROFILE

$ testsmbuilding -o "./output" -a "./annotations/training/" -i "./images/training/" -s "../VOSM/shapeinfo/IMM/ShapeInfo.txt" -d "IMM" -c 1 -t "SM" -l 4 -p 0.95
$ testsmbuilding -o "./output" -a "./annotations/training/" -i "./images/training/" -s "../VOSM/shapeinfo/IMM/ShapeInfo.txt" -d "IMM" -c 1 -t "TM" -l 4 -p 0.95
$ testsmbuilding -o "./output" -a "./annotations/training/" -i "./images/training/" -s "../VOSM/shapeinfo/IMM/ShapeInfo.txt" -d "IMM" -c 1 -t "AM" -l 4 -p 0.95
$ testsmbuilding -o "./output" -a "./annotations/training/" -i "./images/training/" -s "../VOSM/shapeinfo/IMM/ShapeInfo.txt" -d "IMM" -c 1 -t "IA" -l 4 -p 0.95
$ testsmbuilding -o "./output" -a "./annotations/training/" -i "./images/training/" -s "../VOSM/shapeinfo/IMM/ShapeInfo.txt" -d "IMM" -c 1 -t "FM" -l 4 -p 0.95
$ testsmbuilding -o "./output" -a "./annotations/training/" -i "./images/training/" -s "../VOSM/shapeinfo/IMM/ShapeInfo.txt" -d "IMM" -c 1 -t "SMLTC" -l 4 -p 0.95
$ testsmbuilding -o "./output" -a "./annotations/training/" -i "./images/training/" -s "../VOSM/shapeinfo/IMM/ShapeInfo.txt" -d "IMM" -c 1 -t "SMNDPROFILE" -l 4 -p 0.95

1.2 Output Folders

After these 7 commands, 9 folders will be generated:

Point2DDistributionModel
ShapeModel
TextureModel
AppearanceModel
AAMICIA
AFM
AXM
ASMLTCs
ASMNDProfiles

1.3 Output Images

Under folder TextureModel, 3 key images are generated:

Reference.jpg	edges.jpg	ellipses.jpg

Under folder AAMICIA, another 3 key images are generated:

m_IplImageTempFace.jpg	m_IplImageTempFaceX.jpg	m_IplImageTempFaceY.jpg

2. Fitting

2.1 Fitting Commands

Current VOSM supports 5 fitting methods.

ASM_PROFILEND
ASM_LTC
AAM_BASIC
AAM_CMUICIA
AAM_IAIA

$ testsmfitting -o "./output/" -t "ASM_PROFILEND" -i "./images/testing/" -a "./annotations/testing/" -d "IMM" -s true -r true
$ testsmfitting -o "./output/" -t "ASM_LTC" -i "./images/testing/" -a "./annotations/testing/" -d "IMM" -s true -r true
$ testsmfitting -o "./output/" -t "AAM_BASIC" -i "./images/testing/" -a "./annotations/testing/" -d "IMM" -s true -r true
$ testsmfitting -o "./output/" -t "AAM_CMUICIA" -i "./images/testing/" -a "./annotations/testing/" -d "IMM" -s true -r true
$ testsmfitting -o "./output/" -t "AAM_IAIA" -i "./images/testing/" -a "./annotations/testing/" -d "IMM" -s true -r true

2.2 Fitting Results

Let’s just take ASM_PROFILEND as an example.

1	$ testsmfitting -o "./output/" -t "ASM_PROFILEND" -i "./images/testing/" -a "./annotations/testing/" -d "IMM" -s true -r true

All fitted images are generated under current folder, some are well fitted:

11-1m.jpg	33-4m.jpg	40-6m.jpg

others are NOT well fitted:

12-3f.jpg	20-6m.jpg	23-4m.jpg

2.3 Process of Fitting

The fitting process can also be recorded for each image if the parameter “-r” is enabled by -r true. Let’s take a look at what’s in folder 40-6m.