Auto Topic: disparity
auto_disparity | topic
Coverage Score
1
Mentioned Chunks
11
Mentioned Docs
1
Required Dimensions
definitionpros_cons
Covered Dimensions
definitionpros_cons
Keywords
disparity
Relations
| Source | Type | Target | W |
|---|---|---|---|
| Auto Topic: disparity | CO_OCCURS | Auto Topic: scene | 4 |
| Auto Topic: disparity | CO_OCCURS | Constraint Satisfaction Problem | 4 |
Evidence Chunks
| Source | Confidence | Mentions | Snippet |
|---|---|---|---|
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.65 | 6 | ... f we think of this as resulting from a translation vector T acting for time δt, with Tx = b/δt and Ty = Tz = 0. The horizontal and vertical disparity 1010 Chapter 27 Computer Vision Perceived object Right image (a) (b) Left image Disparity LeftRight Figure 27.14 Translating a cam ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.63 | 5 | ... 5 shows two eyes fixated at a point P0, which is at a distance Z from the midpoint of the eyes. For convenience, we will compute the angular disparity, measured in radians. The disparity at the point of fixation P0 is zero. For some other point P in the scene that is δZ farther awa ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.59 | 3 | ... otice that the fingers have shifted position with respect to one another. This shifting of position from left view to right view is known as disparity. In the right choice of coordinate system, if we Disparity superimpose left and right images of an object at some depth, the objec ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.59 | 3 | ... thread needles and the like. Section 27.6 The 3D World 1011 b du /2 dZ PP0 PR PL Left eye Z Right eye u Figure 27.15 The relation between disparity and depth in stereopsis. The centers of projec- tion of the two eyes are distance b apart, and the optical axes intersect at the fixa ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... Section 27.3.2). In practice, we use much more sophisticated algorithms, which exploit additional constraints. Assuming that we can measure disparity, how does this yield information about depth in the scene? We will need to work out the geometrical relationship between disparity ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.57 | 2 | ... tected classes, is a potential framework to harmonize protections across various groups. Even in the absence of societal bias, sample size disparity can lead to biased results.Sample size disparity In most data sets there will be fewer training examples of minority class individu ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... bility. A second idea is to de-bias the data (Zemel et al., 2013). We could over-sample from minority classes to defend against sample size disparity. Techniques such as SMOTE, the synthetic minority over-sampling technique (Chawla et al., 2002) or A DASYN , the adaptive syntheti ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... z, H. (1998). Part-of- speech tagging using decision trees. In ECML-98. Marr, D. and Poggio, T. (1976). Cooperative compu- tation of stereo disparity. Science, 194, 283–287. Marr, D. (1982). Vision: A Computational Investiga- tion into the Human Representation and Processing of V ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... criminative model, 779, 883 discriminator (in GANs), 831 disjoint sets, 336 disjunct, 235 disjunction, 235, 411 disjunctive constraint, 167 disparity, 1009 Dissanayake, G., 984, 1093 distribute∨ over∧, 245, 300 distributed constraint satisfaction, 191 distributed representation, ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | nction, 235, 411 disjunctive constraint, 167 disparity, 1009 Dissanayake, G., 984, 1093 distribute∨ over∧, 245, 300 distributed constraint satisfaction, 191 distributed representation, 78 distribution 1130 Index beta, 505, 781 categorical, 409 conditional, nonparametric, 440 cumu ... |
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf | 0.55 | 1 | ... 1156 Index Samadi, M., 127, 1111 Samet, H., 735, 1111 Sammut, C., 871, 1111 Samothrakis, S., 222, 1089 sample complexity, 692 sample size disparity, 1046 sample space, 406 sampling, 453–459, 1080 adaptive, 475 correlated, 863, 872 direct, 454 rejection, 455 Samsung, 1031 Samuel, ... |