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| Author |
Yainuvis Socarras |
| Title |
Image segmentation for improving pedestrian detection |
Type |
Report |
Year  |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
167 |
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Bellaterra (Spain) |
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Computer Vision Center |
Thesis |
Master's thesis |
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ADAS; |
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no |
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Admin @ si @ Soc2011 |
Serial |
1933 |
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| Author |
Maria del Camp Davesa |
| Title |
Human action categorization in image sequences |
Type |
Report |
| Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
169 |
Issue |
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Bellaterra (Spain) |
| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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CiC;CIC |
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no |
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Admin @ si @ Dav2011 |
Serial |
1934 |
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| Author |
Marc Serra |
| Title |
Estimating Intrinsic Images from Physical and Categorical Color Cues |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
151 |
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Master's thesis |
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CIC |
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no |
| Call Number |
Admin @ si @ Ser2010 |
Serial |
1345 |
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| Author |
Ahmed Mounir Gad |
| Title |
Object Localization Enhancement by Multiple Segmentation Fusion |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
152 |
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Master's thesis |
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no |
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Admin @ si @ Mou2010 |
Serial |
1346 |
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| Author |
Antonio Hernandez |
| Title |
Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
153 |
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Master's thesis |
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HUPBA;MILAB |
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no |
| Call Number |
Admin @ si @ Her2010 |
Serial |
1347 |
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| Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez |
| Title |
Feature Detectors and Feature Descriptors: Where We Are Now |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
154 |
Issue |
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| Abstract |
Feature Detection and Feature Description are clearly nowadays topics. Many Computer Vision applications rely on the use of several of these techniques in order to extract the most significant aspects of an image so they can help in some tasks such as image retrieval, image registration, object recognition, object categorization and texture classification, among others. In this paper we define what Feature Detection and Description are and then we present an extensive collection of several methods in order to show the different techniques that are being used right now. The aim of this report is to provide a glimpse of what is being used currently in these fields and to serve as a starting point for future endeavours. |
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800 |
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| Notes |
MV;SIAI |
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no |
| Call Number |
Admin @ si @ BVS2010; IAM @ iam @ BVS2010 |
Serial |
1348 |
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| Author |
Lluis Pere de las Heras |
| Title |
Syntactic Model for Semantic Document Analysis |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
158 |
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no |
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Admin @ si @ Per2010 |
Serial |
1350 |
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| Author |
Anjan Dutta |
| Title |
Symbol Spotting in Graphical Documents by Serialized Subgraph Matching |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
159 |
Issue |
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Master's thesis |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ Dut2010 |
Serial |
1351 |
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| Author |
Ekain Artola |
| Title |
Human Attention Map Prediction Combining Visual Features |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
160 |
Issue |
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Thesis |
Bachelor's thesis |
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no |
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Admin @ si @ Art2010 |
Serial |
1352 |
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| Author |
David Fernandez |
| Title |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
161 |
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Master's thesis |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ Fer2010b |
Serial |
1353 |
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| Author |
Jon Almazan |
| Title |
Deforming the Blurred Shape Model for Shape Description and Recognition |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
163 |
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Master's thesis |
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no |
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Admin @ si @ Alm2010 |
Serial |
1354 |
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| Author |
Nataliya Shapovalova |
| Title |
On Importance of Interaction and Context |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
155 |
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Master's thesis |
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ISE |
Approved |
no |
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Admin @ si @ Sha2010 |
Serial |
1355 |
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| Author |
Zhanwu Xiong |
| Title |
A Pompd Model for Active Camera Control |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
156 |
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Master's thesis |
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ISE |
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no |
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Admin @ si @ Xio2010 |
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1356 |
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| Author |
Patricia Marquez |
| Title |
Conditions Ensuring Accuracy of Local Optical Flow Schemes |
Type |
Report |
| Year |
2010 |
Publication |
CVC Tehcnical Report |
Abbreviated Journal |
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| Volume |
157 |
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| Abstract |
Accurate computation of optical flow is a key-point in many image processing fields. Detection of anomalous and unpredicted agents (such as pedestrians, bikers or cars) in urban scenes or pathology discrimination in medical imaging sequences, to mention just a two. The above kinds sequences present two main difficulties for standard optical flow techniques. On one hand, variability in acquisition conditions (illuminance, medical imaging modality, ...) force an alterantive representation for images fulfilling the britghtness constancy constrain. On the hand, current variational schemes produce oversmoothed fields unable to properly model discontinuous behaviours such as collisions or functionless pathological areas. This master project explores the abilities and limitations of local and global optical flow approaches. The master student will put especial emphasis in the theoretical grounds behind in order to design a variational framework combining the theoretical advantages of the considered techniques. In particular an optical flow based on Gabor phase tracking (developed in the group for medical imaging) will be generalized to urban scenes. |
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Master's thesis |
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Bellaterra 08193, Barcelona, Spain |
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IAM; |
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no |
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IAM @ iam @ Mar2010 |
Serial |
1582 |
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| Author |
Sergio Vera |
| Title |
Finger joint modelling from hand X-ray images for assessing rheumatoid arthritis |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
164 |
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| Keywords |
Rheumatoid arthritis; joint detection; X-ray; Van der Heijde score |
| Abstract |
Rheumatoid arthritis is an autoimmune, systemic, inflammatory disorder that mainly af- fects bone joints. While there is no cure for this disease, continuous advances on palliative treatments require frequent verification of patient’s illness evolution. Such evolution is mea- sured through several available semi-quantitative methods that require evaluation of hand and foot X-ray images. Accurate assessment is a time consuming task that requires highly trained personnel. This hinders a generalized use in clinical practice for early diagnose and disease follow-up. In the context of the automatization of such evaluation methods we present a method for detection and characterization of finger joints in hand radiography images. Several measures for assessing the reduction of joint space width are proposed. We compare for the first time such measures to the Van der Heijde score, the gold standard method for rheumatoid arthritis assessment. The proposed method outperforms existing strategies with a detection rate above 95%. Our comparison to Van der Heijde index shows a promising correlation that encourages further research. |
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Master's thesis |
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Bellaterra 01893, Barcelona, Spain |
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IAM |
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IAM @ iam @ Ver2010 |
Serial |
1661 |
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